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JIMO is an international journal devoted to publishing peer-reviewed, high quality, original papers on the non-trivial interplay between numerical optimization methods and practically significant problems in industry or management so as to achieve superior design, planning and/or operation. Its objective is to promote collaboration between optimization specialists, industrial practitioners and management scientists so that important practical industrial and management problems can be addressed by the use of appropriate, recent advanced optimization techniques.

It is particularly hoped that the study of these practical problems will lead to the discovery of new ideas and the development of novel methodologies in optimization.

  • AIMS is a member of COPE. All AIMS journals adhere to the publication ethics and malpractice policies outlined by COPE.
  • Publishes 4 issues a year in January, April, July and October.
  • Publishes both online and in print.
  • Indexed in Science Citation Index-Expanded, ISI Alerting Services, CompuMath Citation Index, Current Contents/Physical, Chemical & Earth Sciences (CC/PC&ES), INSPEC, Mathematical Reviews, MathSciNet, PASCAL/CNRS, Scopus, Web of Science and Zentralblatt MATH.
  • Archived in Portico and CLOCKSS.
  • JIMO is published by the American Institute of Mathematical Sciences and sponsored by Curtin University and Zhejiang University. All rights reserved.


Note: “Most Cited” is by Cross-Ref , and “Most Downloaded” is based on available data in the new website.

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Performance evaluation and optimization of cognitive radio networks with adjustable access control for multiple secondary users
Yuan Zhao and Wuyi Yue
2019, 15(1) : 1-14 doi: 10.3934/jimo.2018029 +[Abstract](1170) +[HTML](648) +[PDF](393.1KB)

In this paper, we consider a cognitive radio network with multiple secondary users (SUs). The SU packets in the system can be divided into two categories: SU1 packets and SU2 packets, where SU1 packets have transmission priority over SU2 packets. Considering the absolute priority of the primary users (PUs), the PU packets have the highest priority in the system to transmit. In order to guarantee the Quality of Service (QoS) of the network users, as well as reduce the average delay of the SU2 packets, we propose an adjustable access control scheme for the SU2 packets. A newly arriving SU2 packet can access the system with an access probability related to the total number of packets in the system. A variable factor is also introduced to adjust the access probability dynamically. Based on the working principle of the adjustable access control scheme, we build a discrete-time queueing model with a finite waiting room and an adjustable joining rate. With a steady-state analysis of the queueing model, using a three-dimensional Markov chain, we derive some performance measures, such as the total channel utilization, the interruption rate, the throughput, and the average delay of the SU2 packets. Moreover, we show the influence of the adjustment factor on different system performance measures by using numerical results. Finally, considering the trade-off between the throughput and the average delay of the SU2 packets with respect to the adjustment factor, we build a net benefit function and show an optimal algorithm to optimize the adjustment factor.

Multiserver retrial queue with setup time and its application to data centers
Tuan Phung-Duc and Ken'ichi Kawanishi
2019, 15(1) : 15-35 doi: 10.3934/jimo.2018030 +[Abstract](1354) +[HTML](688) +[PDF](352.23KB)

This paper considers a multiserver retrial queue with setup time which is motivated from application in data centers with the ON-OFF policy, where an idle server is immediately turned off. The ON-OFF policy is designed to save energy consumption of idle servers because an idle server still consumes about 60% of its peak consumption processing jobs. Upon arrival, a job is allocated to one of available off-servers and that server is started up. Otherwise, if all the servers are not available upon arrival, the job is blocked and retries in a random time. A server needs some setup time during which the server cannot process a job but consumes energy. We formulate this model using a three-dimensional continuous-time Markov chain obtaining the stability condition via Foster-Lyapunov criteria. Interestingly, the stability condition is different from that of the corresponding non-retrial queue. Furthermore, exploiting the special structure of the Markov chain together with a heuristic technique, we develop an efficient algorithm for computing the stationary distribution. Numerical results reveal that under the ON-OFF policy, allowing retrials is more power-saving than buffering jobs. Furthermore, we obtain a new insight that if the setup time is relatively long, setting an appropriate retrial time could reduce both power consumption and the mean response time of jobs.

Delay characteristics in place-reservation queues with class-dependent service times
Sabine Wittevrongel, Bart Feyaerts, Herwig Bruneel and Stijn De Vuyst
2019, 15(1) : 37-58 doi: 10.3934/jimo.2018031 +[Abstract](981) +[HTML](749) +[PDF](701.2KB)

This paper considers a discrete-time single-server infinite-capacity queue with two classes of packet arrivals, either delay-sensitive (class 1) or delay-tolerant (class 2), and a reservation-based priority scheduling mechanism. The objective is to provide a better quality of service to delay-sensitive packets at the cost of allowing higher delays for the best-effort packets. To this end, the scheduling mechanism makes use of an in-queue reserved place intended for future class-1 packet arrivals. A class-1 arrival takes the place of the reservation in the queue, after which a new reservation is created at the tail of the queue. Class-2 arrivals always take place at the tail of the queue. We study the delay characteristics for both packet classes under the assumption of a general independent packet arrival process. The service times of the packets are independent and have a general distribution that depends on the class of the packet. Closed-form expressions are obtained for the probability generating functions of the per-class delays. From this, moments and tail probabilities of the packet delays of both classes are derived. The results are illustrated by some numerical examples.

The inexact log-exponential regularization method for mathematical programs with vertical complementarity constraints
Liping Pang, Na Xu and Jian Lv
2019, 15(1) : 59-79 doi: 10.3934/jimo.2018032 +[Abstract](918) +[HTML](563) +[PDF](477.8KB)

We study the convergence of the log-exponential regularization method for mathematical programs with vertical complementarity constraints (MPVCC). The previous paper assume that the sequence of Lagrange multipliers are bounded and it can be found by software. However, the KKT points can not be computed via Matlab subroutines exactly in many cases. We note that it is realistic to compute inexact KKT points from a numerical point of view. We prove that, under the MPVCC-MFCQ assumption, the accumulation point of the inexact KKT points is Clarke (C-) stationary point. The idea of inexact KKT conditions can be used to define stopping criteria for many practical algorithms. Furthermore, we introduce a feasible strategy that guarantees inexact KKT conditions and provide some numerical examples to certify the reliability of the approach. It means that we can apply the inexact regularization method to solve MPVCC and show the advantages of the improvement.

Optimal stopping investment with non-smooth utility over an infinite time horizon
Xiaoshan Chen, Xun Li and Fahuai Yi
2019, 15(1) : 81-96 doi: 10.3934/jimo.2018033 +[Abstract](760) +[HTML](548) +[PDF](480.08KB)

This study addresses an investment problem facing a venture fund manager who has a non-smooth utility function. The theoretical model characterizes an absolute performance-based compensation package. Technically, the research methodology features stochastic control and optimal stopping by formulating a free-boundary problem with a nonlinear equation, which is transferred to a new one with a linear equation. Numerical results based on simulations are presented to better illustrate this practical investment decision mechanism.

Optimal design of finite precision and infinite precision non-uniform cosine modulated filter bank
Hai Huyen Dam and Wing-Kuen Ling
2019, 15(1) : 97-112 doi: 10.3934/jimo.2018034 +[Abstract](1042) +[HTML](589) +[PDF](441.5KB)

This paper investigates the design of non-uniform cosine modulated filter bank (CMFB) with both finite precision coefficients and infinite precision coefficients. The finite precision filter bank has been designed to reduce the computational complexity related to the multiplication operations in the filter bank. Here, non-uniform filter bank (NUFB) is obtained by merging the appropriate filters of an uniform filter bank. An efficient optimization approach is developed for the design of non-uniform CMFB with infinite precision coefficients. A new procedure based on the discrete filled function is then developed to design the filter bank prototype filter with finite precision coefficients. Design examples demonstrate that the designed filter banks with both infinite precision coefficients and finite precision coefficients have low distortion and better performance when compared with other existing methods.

A novel modeling and smoothing technique in global optimization
Ahmet Sahiner, Nurullah Yilmaz and Gulden Kapusuz
2019, 15(1) : 113-130 doi: 10.3934/jimo.2018035 +[Abstract](1137) +[HTML](551) +[PDF](811.96KB)

In this paper, we introduce a new methodology for modeling of the given data and finding the global optimum value of the model function. First, a new surface blending technique is offered by using Bezier curves and a smooth objective function is obtained with the help of this technique. Second, a new global optimization method followed by an adapted algorithm is presented to reach the global minimizer of the objective function. As an application of this new methodology, we consider energy conformation problem in Physical Chemistry as a very important real-world problem.

Mechanism design in project procurement auctions with cost uncertainty and failure risk
Xiaohu Qian, Min Huang, Wai-Ki Ching, Loo Hay Lee and Xingwei Wang
2019, 15(1) : 131-157 doi: 10.3934/jimo.2018036 +[Abstract](910) +[HTML](541) +[PDF](739.12KB)

Project procurement has two important attributes: cost uncertainty and failure risk. Due to the incomplete feature of such attributes, a novel mechanism incorporating contingent payments and cost sharing contracts is proposed for the buyer. Constructing models of bid decisions for risk averse and risk neutral suppliers, respectively, closed-form solutions of optimal bid prices are derived. By investigating the properties of bid prices in a first-score sealed-bid reverse auction, we find that when the degree of risk aversion or the variance of unpredictable cost is sufficiently small, bid prices of risk averse suppliers could be lower than those of risk neutral suppliers. Yet risk averse suppliers always bid higher than risk neutral suppliers in a second-score sealed-bid reverse auction. An interesting result verified by numerical experiments is that the classical revenue equivalence theorem no longer holds for the proposed mechanism if suppliers involve risk averse behavior. In this case, the buyer's best choice is to adopt a first-score sealed-bid reverse auction. We also provide decision support for the buyer to achieve optimal expected profit.

Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step
Yuan Shen and Lei Ji
2019, 15(1) : 159-175 doi: 10.3934/jimo.2018037 +[Abstract](911) +[HTML](477) +[PDF](1469.83KB)

In this paper, we propose a partial convolution model for image deblurring and denoising. We also devise a new linearized alternating direction method of multipliers (ADMM) with an extension step. As the computation of its subproblem is simple enough to have closed-form solutions, its per-iteration cost is low; however, the relaxed parameter condition together with the extra extension step inspired by Ye and Yuan's ADMM enables faster convergence than the original linearized ADMM. Preliminary experimental results show that our algorithm can produce better quality results than some existing efficient algorithms within a similar computation time. The performance advantage of our algorithm is particularly evident at high noise ratios.

Improved particle swarm optimization and neighborhood field optimization by introducing the re-sampling step of particle filter
Qifeng Cheng, Xue Han, Tingting Zhao and V S Sarma Yadavalli
2019, 15(1) : 177-198 doi: 10.3934/jimo.2018038 +[Abstract](908) +[HTML](850) +[PDF](688.68KB)

A technique of introducing the re-sampling step of particle filter is proposed to improve the particle swarm optimization (PSO) algorithm, a typical global search algorithm. The re-sampling step can decrease particles with low weights and duplicate particles with high weights, given that we define a type of suitable weights for the particles. To prevent the identity of particles, the re-sampling step is followed by the existing method of particle variation. Through this technique, the local search capability is enhanced greatly in the later searching stage of PSO algorithm. More interesting, this technique can also be employed to improve another algorithm of which the philosophy is "learning from neighbors", i.e., the neighborhood field optimization (NFO) algorithm. The improved algorithms (PSO-resample and NFO-resample) are compared with other metaheuristic algorithms through extensive simulations. The experiments show that the improved algorithms are superior in terms of convergence rate, search accuracy and robustness. Our results also suggest that the proposed technique can be general in the sense that it can probably improve other particle-based intelligent algorithms.

Closed-loop supply chain network equilibrium model with retailer-collection under legislation
Wenbin Wang, Peng Zhang, Junfei Ding, Jian Li, Hao Sun and Lingyun He
2019, 15(1) : 199-219 doi: 10.3934/jimo.2018039 +[Abstract](1037) +[HTML](498) +[PDF](819.65KB)

This paper examines the waste of electrical and electronic equipments (WEEE) and draws on variational inequalities to model the closed-loop supply chain network. The network consists of manufacturers, retailers and consumer markets engaging in a Cournot-Nash game. Retailers are responsible for collecting WEEE in the network. It is assumed that the price of the remanufactured goods is different from that of the newly manufactured ones. The network equilibrium occurs when all players agree on volumes and prices. Several properties of the model are examined and the modified projection method is utilized to obtain the optimal solutions. Numerical examples are provided to illustrate the impact of CLSC parameters on the profits of channel members and consumer benefits, and to provide policy support for governments. We find that it is necessary to regulate a medium collection rate and a certain minimum recovery rate. This is also advantageous to manufacturers in producing new manufactured products. The impact of collection rate and recovery rate on manufacturers are greater than that on retailers. Consumers can benefit from the increase of the recovery rate as well as the collection rate.

A comparative study on three graph-based constructive algorithms for multi-stage scheduling with blocking
Pengyu Yan, Shi Qiang Liu, Cheng-Hu Yang and Mahmoud Masoud
2019, 15(1) : 221-233 doi: 10.3934/jimo.2018040 +[Abstract](1102) +[HTML](763) +[PDF](570.71KB)

In this paper, the blocking conditions are investigated in permutation flow shop, general flow shop and job shop environments, in which there are no buffer storages between any pair of machines. Based on an alternative graph that is an extension of classical disjunctive graph, a new and generic polynomial-time algorithm is proposed to construct a feasible schedule with a given job processing sequence, especially for satisfying complex blocking constraints in multi-stage scheduling environments. To highlight the state-of-the-art of the proposed algorithm, a comparative analysis is conducted in comparison to two other constructive algorithms in the literature. The comparison shows that the proposed algorithm has the following advantages: \begin{document}$ i$\end{document}) it is more adaptive because it can be applied to three different types of scheduling problems (i.e., permutation flow-shop, general flow-shop and job-shop) without any modifications; \begin{document}$ ii$\end{document}) it is able to quickly evaluate whether a schedule is feasible (acyclic) or infeasible (cyclic) through checking the availability of the topological order in a directed alternative graph model; \begin{document}$ iii$\end{document}) it is able to determine the critical path which is useful to design the neighborhood moves in the development of metaheuristics.

A parallel water flow algorithm with local search for solving the quadratic assignment problem
Kien Ming Ng and Trung Hieu Tran
2019, 15(1) : 235-259 doi: 10.3934/jimo.2018041 +[Abstract](1229) +[HTML](787) +[PDF](651.35KB)

In this paper, we adapt a nature-inspired optimization approach, the water flow algorithm, for solving the quadratic assignment problem. The algorithm imitates the hydrological cycle in meteorology and the erosion phenomenon in nature. In this algorithm, a systematic precipitation generating scheme is included to increase the spread of the raindrop positions on the ground to increase the solution exploration capability of the algorithm. Efficient local search methods are also used to enhance the solution exploitation capability of the algorithm. In addition, a parallel computing strategy is integrated into the algorithm to speed up the computation time. The performance of the algorithm is tested with the benchmark instances of the quadratic assignment problem taken from the QAPLIB. The computational results and comparisons show that our algorithm is able to obtain good quality or optimal solutions to the benchmark instances within reasonable computation time.

Pricing options on investment project expansions under commodity price uncertainty
Nan Li and Song Wang
2019, 15(1) : 261-273 doi: 10.3934/jimo.2018042 +[Abstract](835) +[HTML](607) +[PDF](1104.5KB)

In this work we develop PDE-based mathematical models for valuing real options on investment project expansions when the underlying commodity price follows a geometric Brownian motion. The models developed are of a similar form as the Black-Scholes model for pricing conventional European call options. However, unlike the Black-Scholes' model, the payoff conditions of the current models are determined by a PDE system. An upwind finite difference scheme is used for solving the models. Numerical experiments have been performed using two examples of pricing project expansion options in the mining industry to demonstrate that our models are able to produce financially meaningful numerical results for the two non-trivial test problems.

A slacks-based model for dynamic data envelopment analysis
Mohammad Afzalinejad and Zahra Abbasi
2019, 15(1) : 275-291 doi: 10.3934/jimo.2018043 +[Abstract](934) +[HTML](593) +[PDF](637.67KB)

Dynamic Data Envelopment Analysis (DDEA) deals with efficiency analysis of decision making units in time dependent situations. A finite number of time periods and some carry-over activities between each two consecutive periods are assumed in DDEA. There are many models in DEA for efficiency evaluation of decision making units over time periods. One important class of dynamic models is the class of slacks-based models. By using a numerical example we show that some slacks-based DDEA models, especially ones proposed by Tone and Tsutsui, suffer from efficiency overestimation. A new dynamic slacks-based DEA model is proposed to overcome the deficiencies of the available slacks-based models. The model proposed in this paper is capable of revealing all sources of inefficiencies and providing more discrimination between decision making units. The theoretical and practical examinations demonstrate the merits of the new model.

Pricing vulnerable options under a Markov-modulated jump-diffusion model with fire sales
Qing-Qing Yang, Wai-Ki Ching, Wanhua He and Tak-Kuen Siu
2019, 15(1) : 293-318 doi: 10.3934/jimo.2018044 +[Abstract](922) +[HTML](636) +[PDF](364.83KB)

In this paper, we consider the valuation of vulnerable options under a Markov-modulated jump-diffusion model, where the option writer's asset value is subject to price pressure from other financial institutions due to distressed selling. A change of numéraire technique, proposed by Geman et al. [14], is employed to obtain a semi-analytical pricing formula for an vulnerable European option in the presence of regime switching effect. The method is numerically implemented using the multinomial approach in Costabile et al. [6]. We study the impacts of distressed selling and regime switching on the European option prices via numerical experiments.

On a modified extragradient method for variational inequality problem with application to industrial electricity production
Yekini Shehu and Olaniyi Iyiola
2019, 15(1) : 319-342 doi: 10.3934/jimo.2018045 +[Abstract](1146) +[HTML](941) +[PDF](575.31KB)

In this paper, we present a modified extragradient-type method for solving the variational inequality problem involving uniformly continuous pseudomonotone operator. It is shown that under certain mild assumptions, this method is strongly convergent in infinite dimensional real Hilbert spaces. We give some numerical computational experiments which involve a comparison of our proposed method with other existing method in a model on industrial electricity production.

Pricing decisions for complementary products in a fuzzy dual-channel supply chain
Lisha Wang, Huaming Song, Ding Zhang and Hui Yang
2019, 15(1) : 343-364 doi: 10.3934/jimo.2018046 +[Abstract](1200) +[HTML](824) +[PDF](4325.11KB)

The paper considers the pricing problem of complementary products in a fuzzy dual-channel supply chain environment where there are two manufacturers and one retailer. Four different decision models are established to study this problem: the centralized decision model, MS-Bertrand model, RS-Bertrand model and Nash game model, where the consumer demand and manufacturing cost for each product are characterized as fuzzy variables. A closed form solution has been obtained for each model by using game theory and fuzzy theory. Numerical examples are presented to compare the maximal expected profits and optimal pricing decisions, and to provide additional managerial insights. The finding shows that the decision makers are more likely to choose industries with higher self-price elastic coefficient and lower complementarity in the retail channel to cooperate. We can obtain that consumers can benefit from the cooperation of the two manufacturers because of lower prices. We can also find that it might not be bad for retailer because it can expand demand and obtain more maximal expected profits.

Effect of Bitcoin fee on transaction-confirmation process
Shoji Kasahara and Jun Kawahara
2019, 15(1) : 365-386 doi: 10.3934/jimo.2018047 +[Abstract](1019) +[HTML](696) +[PDF](435.75KB)

In Bitcoin system, transactions are prioritized according to transaction fees. Transactions without fees are given low priority and likely to wait for confirmation. Because the demand of micro payment in Bitcoin is expected to increase due to low remittance cost, it is important to quantitatively investigate how transactions with small fees of Bitcoin affect the transaction-confirmation time. In this paper, we analyze the transaction-confirmation time by queueing theory. We model the transaction-confirmation process of Bitcoin as a priority queueing system with batch service, deriving the mean transaction-confirmation time. Numerical examples show how the demand of transactions with low fees affects the transaction-confirmation time. We also consider the effect of the maximum block size on the transaction-confirmation time.

A class of two-stage distributionally robust games
Bin Li, Jie Sun, Honglei Xu and Min Zhang
2019, 15(1) : 387-400 doi: 10.3934/jimo.2018048 +[Abstract](998) +[HTML](503) +[PDF](409.53KB)

An \begin{document}$ N $\end{document}-person noncooperative game under uncertainty is analyzed, in which each player solves a two-stage distributionally robust optimization problem that depends on a random vector as well as on other players' decisions. Particularly, a special case is considered, where the players' optimization problems are linear at both stages, and it is shown that the Nash equilibrium of this game can be obtained by solving a conic linear variational inequality problem.

Multi-period portfolio optimization in a defined contribution pension plan during the decumulation phase
Chuangwei Lin, Li Zeng and Huiling Wu
2019, 15(1) : 401-427 doi: 10.3934/jimo.2018059 +[Abstract](964) +[HTML](458) +[PDF](557.25KB)

This paper studies a multi-period portfolio selection problem for retirees during the decumulation phase. We set a series of investment targets over time and aim to minimize the expected losses from the time of retirement to the time of compulsory annuitization by using a quadratic loss function. A target greater than the expected wealth is given and the corresponding explicit expressions for the optimal investment strategy are obtained. In addition, the withdrawal amount for daily life is assumed to be a linear function of the wealth level. Then according to the parameter value settings in the linear function, the withdrawal mechanism is classified as deterministic withdrawal, proportional withdrawal or combined withdrawal. The properties of the investment strategies, targets, bankruptcy probabilities and accumulated withdrawal amounts are compared under the three withdrawal mechanisms. Finally, numerical illustrations are presented to analyze the effects of the final target and the interest rate on some obtained results.

A potential reduction method for tensor complementarity problems
Kaili Zhang, Haibin Chen and Pengfei Zhao
2018doi: 10.3934/jimo.2018049 +[Abstract](1012) +[HTML](543) +[PDF](417.7KB)
Dynamic optimal decision making for manufacturers with limited attention based on sparse dynamic programming
Haiying Liu, Wenjie Bi, Kok Lay Teo and Naxing Liu
2018doi: 10.3934/jimo.2018050 +[Abstract](1065) +[HTML](690) +[PDF](401.25KB)
Higher-order weak radial epiderivatives and non-convex set-valued optimization problems
Qilin Wang, Liu He and Shengjie Li
2018doi: 10.3934/jimo.2018051 +[Abstract](804) +[HTML](646) +[PDF](406.38KB)
Asymptotics for a bidimensional risk model with two geometric Lévy price processes
Yang Yang, Kaiyong Wang, Jiajun Liu and Zhimin Zhang
2018doi: 10.3934/jimo.2018053 +[Abstract](790) +[HTML](528) +[PDF](451.46KB)
Exclusion sets in the Δ-type eigenvalue inclusion set for tensors
Yaotang Li and Suhua Li
2018doi: 10.3934/jimo.2018054 +[Abstract](819) +[HTML](493) +[PDF](349.65KB)
Optimal threshold strategies with capital injections in a spectrally negative Lévy risk model
Manman Li and George Yin
2018doi: 10.3934/jimo.2018055 +[Abstract](759) +[HTML](483) +[PDF](640.38KB)
Chance-constrained multiperiod mean absolute deviation uncertain portfolio selection
Peng Zhang
2018doi: 10.3934/jimo.2018056 +[Abstract](1226) +[HTML](758) +[PDF](492.41KB)
An adaptive probabilistic algorithm for online k-center clustering
Ruiqi Yang, Dachuan Xu, Yicheng Xu and Dongmei Zhang
2018doi: 10.3934/jimo.2018057 +[Abstract](764) +[HTML](455) +[PDF](398.41KB)
An uncertain programming model for single machine scheduling problem with batch delivery
Jiayu Shen and Yuanguo Zhu
2018doi: 10.3934/jimo.2018058 +[Abstract](988) +[HTML](536) +[PDF](242.47KB)
Anode effect prediction based on collaborative two-dimensional forecast model in aluminum electrolysis production
Zuguo Chen, Yonggang Li, Xiaofang Chen, Chunhua Yang and Weihua Gui
2018doi: 10.3934/jimo.2018060 +[Abstract](854) +[HTML](873) +[PDF](16300.1KB)
Optimum management of the network of city bus routes based on a stochastic dynamic model
Shi'an Wang and N. U. Ahmed
2018doi: 10.3934/jimo.2018061 +[Abstract](919) +[HTML](524) +[PDF](1469.6KB)
Immediate schedule adjustment and semidefinite relaxation
Jinling Zhao, Wei Chen and Su Zhang
2018doi: 10.3934/jimo.2018062 +[Abstract](822) +[HTML](507) +[PDF](504.33KB)
Sufficiency and duality in non-smooth interval valued programming problems
Deepak Singh, Bilal Ahmad Dar and Do Sang Kim
2018doi: 10.3934/jimo.2018063 +[Abstract](650) +[HTML](420) +[PDF](637.14KB)
A joint dynamic pricing and production model with asymmetric reference price effect
Shichen Zhang, Jianxiong Zhang, Jiang Shen and Wansheng Tang
2018doi: 10.3934/jimo.2018064 +[Abstract](653) +[HTML](751) +[PDF](747.17KB)
Optimal information policy in discrete-time queues with strategic customers
Veena Goswami and Gopinath Panda
2018doi: 10.3934/jimo.2018065 +[Abstract](613) +[HTML](613) +[PDF](408.69KB)
Three concepts of robust efficiency for uncertain multiobjective optimization problems via set order relations
Hong-Zhi Wei and Chun-Rong Chen
2018doi: 10.3934/jimo.2018066 +[Abstract](727) +[HTML](486) +[PDF](885.88KB)
A proximal alternating direction method for multi-block coupled convex optimization
Foxiang Liu, Lingling Xu, Yuehong Sun and Deren Han
2018doi: 10.3934/jimo.2018067 +[Abstract](753) +[HTML](617) +[PDF](845.64KB)
Selection of DRX scheme for voice traffic in LTE-A networks: Markov modeling and performance analysis
Anupam Gautam and Selvamuthu Dharmaraja
2018doi: 10.3934/jimo.2018068 +[Abstract](732) +[HTML](699) +[PDF](222.42KB)
A proximal-projection partial bundle method for convex constrained minimax problems
Chunming Tang, Jinbao Jian and Guoyin Li
2018doi: 10.3934/jimo.2018069 +[Abstract](719) +[HTML](344) +[PDF](513.41KB)
Partially symmetric nonnegative rectangular tensors and copositive rectangular tensors
Yining Gu and Wei Wu
2018doi: 10.3934/jimo.2018070 +[Abstract](584) +[HTML](374) +[PDF](358.48KB)
Henig proper efficiency in vector optimization with variable ordering structure
Marius Durea, Elena-Andreea Florea and Radu Strugariu
2018doi: 10.3934/jimo.2018071 +[Abstract](630) +[HTML](418) +[PDF](421.8KB)
On the global optimal solution for linear quadratic problems of switched system
Jin Feng He, Wei Xu, Zhi Guo Feng and Xinsong Yang
2018doi: 10.3934/jimo.2018072 +[Abstract](606) +[HTML](592) +[PDF](366.49KB)
Exact and heuristic methods for personalized display advertising in virtual reality platforms
Kemal Kilic, Menekse G. Saygi and Semih O. Sezer
2018doi: 10.3934/jimo.2018073 +[Abstract](705) +[HTML](525) +[PDF](530.27KB)
An integrated Principal Component Analysis and multi-objective mathematical programming approach to agile supply chain network design under uncertainty
Azam Moradi, Jafar Razmi, Reza Babazadeh and Ali Sabbaghnia
2018doi: 10.3934/jimo.2018074 +[Abstract](9248) +[HTML](2168) +[PDF](2205.6KB)
Test of copositive tensors
Li Li, Xinzhen Zhang, Zheng-Hai Huang and Liqun Qi
2018doi: 10.3934/jimo.2018075 +[Abstract](706) +[HTML](386) +[PDF](360.64KB)
A semidefinite relaxation algorithm for checking completely positive separable matrices
Anwa Zhou and Jinyan Fan
2018doi: 10.3934/jimo.2018076 +[Abstract](512) +[HTML](511) +[PDF](461.06KB)
A difference of convex optimization algorithm for piecewise linear regression
Adil Bagirov, Sona Taheri and Soodabeh Asadi
2018doi: 10.3934/jimo.2018077 +[Abstract](547) +[HTML](718) +[PDF](4551.48KB)
Global error bounds for the tensor complementarity problem with a P-tensor
Mengmeng Zheng, Ying Zhang and Zheng-Hai Huang
2018doi: 10.3934/jimo.2018078 +[Abstract](627) +[HTML](488) +[PDF](369.94KB)
Predicting 72-hour reattendance in emergency departments using discriminant analysis via mixed integer programming with electronic medical records
Fanwen Meng, Kiok Liang Teow, Kelvin Wee Sheng Teo, Chee Kheong Ooi and Seow Yian Tay
2018doi: 10.3934/jimo.2018079 +[Abstract](849) +[HTML](586) +[PDF](419.3KB)
A new relaxed CQ algorithm for solving split feasibility problems in Hilbert spaces and its applications
Aviv Gibali, Dang Thi Mai and Nguyen The Vinh
2018doi: 10.3934/jimo.2018080 +[Abstract](666) +[HTML](581) +[PDF](1652.32KB)
Predicting non-life insurer's insolvency using non-kernel fuzzy quadratic surface support vector machines
Ye Tian, Wei Yang, Gene Lai and Menghan Zhao
2018doi: 10.3934/jimo.2018081 +[Abstract](667) +[HTML](551) +[PDF](376.01KB)
Robust and sparse portfolio model for index tracking
Chao Zhang, Jingjing Wang and Naihua Xiu
2018doi: 10.3934/jimo.2018082 +[Abstract](690) +[HTML](525) +[PDF](373.42KB)
Global and local advertising strategies: A dynamic multi-market optimal control model
Marcelo J. Villena and Mauricio Contreras
2018doi: 10.3934/jimo.2018084 +[Abstract](905) +[HTML](463) +[PDF](1932.33KB)
Optimization of a condition-based duration-varying preventive maintenance policy for the stockless production system based on queueing model
Jianyu Cao and Weixin Xie
2018doi: 10.3934/jimo.2018085 +[Abstract](541) +[HTML](455) +[PDF](757.55KB)
Performance analysis of a cooperative flow game algorithm in ad hoc networks and a comparison to Dijkstra's algorithm
Serap Ergün, Sirma Zeynep Alparslan Gök, Tuncay Aydoǧan and Gerhard Wilhelm Weber
2018doi: 10.3934/jimo.2018086 +[Abstract](906) +[HTML](555) +[PDF](581.26KB)
Unified optimality conditions for set-valued optimizations
Geng-Hua Li and Sheng-Jie Li
2018doi: 10.3934/jimo.2018087 +[Abstract](562) +[HTML](340) +[PDF](348.15KB)
Single-machine bi-criterion scheduling with release times and exponentially time-dependent learning effects
Ping Yan, Ji-Bo Wang and Li-Qiang Zhao
2018doi: 10.3934/jimo.2018088 +[Abstract](548) +[HTML](501) +[PDF](391.04KB)
Optimality conditions and duality for minimax fractional programming problems with data uncertainty
Xiao-Bing Li, Qi-Lin Wang and Zhi Lin
2018doi: 10.3934/jimo.2018089 +[Abstract](590) +[HTML](354) +[PDF](410.88KB)
The optimal pricing and ordering policy for temperature sensitive products considering the effects of temperature on demand
Bing-Bing Cao, Zhi-Ping Fan and Tian-Hui You
2018doi: 10.3934/jimo.2018090 +[Abstract](653) +[HTML](338) +[PDF](509.13KB)
Maritime inventory routing problem with multiple time windows
Nurhadi Siswanto, Stefanus Eko Wiratno, Ahmad Rusdiansyah and Ruhul Sarker
2018doi: 10.3934/jimo.2018091 +[Abstract](846) +[HTML](556) +[PDF](969.83KB)
Linear bilevel multiobjective optimization problem: Penalty approach
Yibing Lv and Zhongping Wan
2018doi: 10.3934/jimo.2018092 +[Abstract](681) +[HTML](376) +[PDF](343.71KB)
A hybrid inconsistent sustainable chemical industry evaluation method
Ying Han, Zhenyu Lu and Sheng Chen
2018doi: 10.3934/jimo.2018093 +[Abstract](568) +[HTML](420) +[PDF](950.01KB)
A smoothing augmented Lagrangian method for nonconvex, nonsmooth constrained programs and its applications to bilevel problems
Qingsong Duan, Mengwei Xu, Yue Lu and Liwei Zhang
2018doi: 10.3934/jimo.2018094 +[Abstract](535) +[HTML](511) +[PDF](431.91KB)
Bi-objective integrated supply chain design with transportation choices: A multi-objective particle swarm optimization
Xia Zhao and Jianping Dou
2018doi: 10.3934/jimo.2018095 +[Abstract](882) +[HTML](843) +[PDF](3066.77KB)
Note on : Supply chain inventory model for deteriorating items with maximum lifetime and partial trade credit to credit risk customers
Prasenjit Pramanik, Sarama Malik Das and Manas Kumar Maiti
2018doi: 10.3934/jimo.2018096 +[Abstract](1246) +[HTML](657) +[PDF](577.0KB)
An inventory model with imperfect item, inspection errors, preventive maintenance and partial backlogging in uncertainty environment
Javad Taheri-Tolgari, Mohammad Mohammadi, Bahman Naderi, Alireza Arshadi-Khamseh and Abolfazl Mirzazadeh
2018doi: 10.3934/jimo.2018097 +[Abstract](1021) +[HTML](545) +[PDF](2936.83KB)
Multi-item deteriorating two-echelon inventory model with price- and stock-dependent demand: A trade-credit policy
Magfura Pervin, Sankar Kumar Roy and Gerhard Wilhelm Weber
2018doi: 10.3934/jimo.2018098 +[Abstract](854) +[HTML](512) +[PDF](617.04KB)
Stability in mean for fuzzy differential equation
Cuilian You and Yangyang Hao
2018doi: 10.3934/jimo.2018099 +[Abstract](530) +[HTML](337) +[PDF](164.11KB)
Perturbation analysis of a class of conic programming problems under Jacobian uniqueness conditions
Ziran Yin and Liwei Zhang
2018doi: 10.3934/jimo.2018100 +[Abstract](655) +[HTML](411) +[PDF](320.27KB)
Necessary optimality conditions for nonautonomous optimal control problems and its applications to bilevel optimal control
Jianxiong Ye and An Li
2018doi: 10.3934/jimo.2018101 +[Abstract](572) +[HTML](297) +[PDF](443.76KB)
Performance analysis of a discrete-time $ Geo/G/1$ retrial queue with non-preemptive priority, working vacations and vacation interruption
Shaojun Lan and Yinghui Tang
2018doi: 10.3934/jimo.2018102 +[Abstract](536) +[HTML](386) +[PDF](695.4KB)
Probabilistic control of Markov jump systems by scenario optimization approach
Yanqing Liu, Yanyan Yin, Kok Lay Teo, Song Wang and Fei Liu
2018doi: 10.3934/jimo.2018103 +[Abstract](614) +[HTML](376) +[PDF](392.78KB)
Online and offline cooperation under buy-online, pick-up-in-store: Pricing and inventory decisions
Chen Fan, Yongmei Liu, Xuehua Yang, Xiaohong Chen and Junhua Hu
2018doi: 10.3934/jimo.2018104 +[Abstract](651) +[HTML](517) +[PDF](766.21KB)
Risk measure optimization: Perceived risk and overconfidence of structured product investors
Xi Chen, Zongrun Wang, Songhai Deng and Yong Fang
2018doi: 10.3934/jimo.2018105 +[Abstract](661) +[HTML](405) +[PDF](981.72KB)
Multiperiod portfolio optimization for asset-liability management with quadratic transaction costs
Zhongbao Zhou, Ximei Zeng, Helu Xiao, Tiantian Ren and Wenbin Liu
2018doi: 10.3934/jimo.2018106 +[Abstract](572) +[HTML](469) +[PDF](508.45KB)
An interior point continuous path-following trajectory for linear programming
Liming Sun and Li-Zhi Liao
2018doi: 10.3934/jimo.2018107 +[Abstract](620) +[HTML](413) +[PDF](423.11KB)
CP and MIP approaches for soccer analysis
Robinson Duque, Alejandro Arbelaez and Juan Francisco Díaz
2018doi: 10.3934/jimo.2018109 +[Abstract](832) +[HTML](449) +[PDF](813.39KB)
Fair-fixture: Minimizing carry-over effects in football leagues
Dilek Günneç and Ezgi Demir
2018doi: 10.3934/jimo.2018110 +[Abstract](741) +[HTML](568) +[PDF](293.19KB)
Optimal pricing of perishable products with replenishment policy in the presence of strategic consumers
Guodong Yi, Xiaohong Chen and Chunqiao Tan
2018doi: 10.3934/jimo.2018112 +[Abstract](546) +[HTML](371) +[PDF](446.56KB)
Equilibrium and optimal balking strategies for low-priority customers in the M/G/1 queue with two classes of customers and preemptive priority
Biao Xu, Xiuli Xu and Zhong Yao
2018doi: 10.3934/jimo.2018113 +[Abstract](493) +[HTML](347) +[PDF](583.55KB)
Online ordering strategy for the discrete newsvendor problem with order value-based free-shipping
Yong Zhang, Huifen Zhong, Yue Liu and Menghu Huang
2018doi: 10.3934/jimo.2018114 +[Abstract](442) +[HTML](404) +[PDF](337.17KB)
Coordinating a multi-echelon supply chain under production disruption and price-sensitive stochastic demand
Bibhas C. Giri and Bhaba R. Sarker
2018doi: 10.3934/jimo.2018115 +[Abstract](636) +[HTML](564) +[PDF](747.33KB)
Asymptotic convergence of stationary points of stochastic multiobjective programs with parametric variational inequality constraint via SAA approach
Liping Pang, Fanyun Meng and Jinhe Wang
2018doi: 10.3934/jimo.2018116 +[Abstract](445) +[HTML](438) +[PDF](557.11KB)
Recovering optimal solutions via SOC-SDP relaxation of trust region subproblem with nonintersecting linear constraints
Jinyu Dai, Shu-Cherng Fang and Wenxun Xing
2018doi: 10.3934/jimo.2018117 +[Abstract](556) +[HTML](408) +[PDF](465.92KB)
Coordinating the supplier-retailer supply chain under noise effect with bundling and inventory strategies
Ata Allah Taleizadeh, Leopoldo Eduardo Cárdenas-Barrón and Roya Sohani
2018doi: 10.3934/jimo.2018118 +[Abstract](752) +[HTML](520) +[PDF](536.13KB)
A note on network repair crew scheduling and routing for emergency relief distribution problem
Huai-Che Hong and Bertrand M. T. Lin
2018doi: 10.3934/jimo.2018119 +[Abstract](365) +[HTML](274) +[PDF](267.67KB)
A savings analysis of horizontal collaboration among VMI suppliers
Benedikt De Vos, Birger Raa and Stijn De Vuyst
2018doi: 10.3934/jimo.2018120 +[Abstract](858) +[HTML](261) +[PDF](520.17KB)
Coordination of VMI supply chain with a loss-averse manufacturer under quality-dependency and marketing-dependency
Fuyou Huang, Juan He and Jian Wang
2018doi: 10.3934/jimo.2018121 +[Abstract](599) +[HTML](353) +[PDF](385.61KB)
Memoryless quasi-Newton methods based on spectral-scaling Broyden family for unconstrained optimization
Shummin Nakayama, Yasushi Narushima and Hiroshi Yabe
2018doi: 10.3934/jimo.2018122 +[Abstract](747) +[HTML](557) +[PDF](385.67KB)
Homotopy method for solving generalized Nash equilibrium problem with equality and inequality constraints
Xiaona Fan, Li Jiang and Mengsi Li
2018doi: 10.3934/jimo.2018123 +[Abstract](527) +[HTML](318) +[PDF](401.3KB)
Uncertain portfolio selection with mental accounts and background risk
Li Xue and Hao Di
2018doi: 10.3934/jimo.2018124 +[Abstract](703) +[HTML](375) +[PDF](481.51KB)
Capital-constrained supply chain with multiple decision attributes: Decision optimization and coordination analysis
Nina Yan, Tingting Tong and Hongyan Dai
2018doi: 10.3934/jimo.2018125 +[Abstract](676) +[HTML](371) +[PDF](1021.33KB)
An economic order quantity for deteriorating items with allowable rework of deteriorated products
Mahdi Karimi, Seyed Jafar Sadjadi and Alireza Ghasemi Bijaghini
2018doi: 10.3934/jimo.2018126 +[Abstract](1049) +[HTML](1038) +[PDF](776.15KB)
Sparse probabilistic Boolean network problems: A partial proximal-type operator splitting method
Kangkang Deng, Zheng Peng and Jianli Chen
2018doi: 10.3934/jimo.2018127 +[Abstract](426) +[HTML](395) +[PDF](525.84KB)
Dual algorithms based on the proximal bundle method for solving convex minimax fractional programs
Hssaine Boualam and Ahmed Roubi
2018doi: 10.3934/jimo.2018128 +[Abstract](417) +[HTML](320) +[PDF](451.49KB)
A mean-reverting currency model with floating interest rates in uncertain environment
Weiwei Wang and Ping Chen
2018doi: 10.3934/jimo.2018129 +[Abstract](550) +[HTML](293) +[PDF](333.74KB)
Optimal investment and consumption in the market with jump risk and capital gains tax
Yong Ma, Shiping Shan and Weidong Xu
2018doi: 10.3934/jimo.2018130 +[Abstract](604) +[HTML](348) +[PDF](378.25KB)
Scheduling with step-deteriorating jobs to minimize the makespan
Cuixia Miao and Yuzhong Zhang
2018doi: 10.3934/jimo.2018131 +[Abstract](413) +[HTML](343) +[PDF](308.39KB)
Optimal dividend policy with liability constraint under a hidden Markov regime-switching model
Jiaqin Wei, Zhuo Jin and Hailiang Yang
2018doi: 10.3934/jimo.2018132 +[Abstract](413) +[HTML](399) +[PDF](507.74KB)
Extreme values problem of uncertain heat equation
Xiangfeng Yang and Yaodong Ni
2018doi: 10.3934/jimo.2018133 +[Abstract](432) +[HTML](252) +[PDF](315.82KB)
An efficient algorithm for non-convex sparse optimization
Yong Wang, Wanquan Liu and Guanglu Zhou
2018doi: 10.3934/jimo.2018134 +[Abstract](459) +[HTML](224) +[PDF](600.83KB)
Double projection algorithms for solving the split feasibility problems
Ya-zheng Dang, Jie Sun and Su Zhang
2018doi: 10.3934/jimo.2018135 +[Abstract](352) +[HTML](267) +[PDF](351.47KB)
An accelerated augmented Lagrangian method for multi-criteria optimization problem
Xueyong Wang, Yiju Wang and Gang Wang
2018doi: 10.3934/jimo.2018136 +[Abstract](342) +[HTML](206) +[PDF](326.1KB)
Fairness preference based decision-making model for concession period in PPP projects
Xue Yan, Heap-Yih Chong, Jing Zhou, Zhaohan Sheng and Feng Xu
2018doi: 10.3934/jimo.2018137 +[Abstract](351) +[HTML](298) +[PDF](2195.5KB)
Continuity of solutions mappings of parametric set optimization problems
Jiawei Chen, Guangmin Wang, Xiaoqing Ou and Wenyan Zhang
2018doi: 10.3934/jimo.2018138 +[Abstract](481) +[HTML](213) +[PDF](388.8KB)
A new class of global fractional-order projective dynamical system with an application
Zeng-bao Wu, Yun-zhi Zou and Nan-jing Huang
2018doi: 10.3934/jimo.2018139 +[Abstract](368) +[HTML](238) +[PDF](379.19KB)
Necessary optimality condition for trilevel optimization problem
Gaoxi Li, Zhongping Wan, Jia-wei Chen and Xiaoke Zhao
2018doi: 10.3934/jimo.2018140 +[Abstract](333) +[HTML](304) +[PDF](377.53KB)
Asset liability management for an ordinary insurance system with proportional reinsurance in a CIR stochastic interest rate and Heston stochastic volatility framework
Yan Zhang, Yonghong Wu, Benchawan Wiwatanapataphee and Francisca Angkola
2018doi: 10.3934/jimo.2018141 +[Abstract](379) +[HTML](280) +[PDF](1390.16KB)
Improved Cuckoo Search algorithm for numerical function optimization
Jianjun Liu, Min Zeng, Yifan Ge, Changzhi Wu and Xiangyu Wang
2018doi: 10.3934/jimo.2018142 +[Abstract](463) +[HTML](325) +[PDF](477.16KB)
Interdependent demand in the two-period newsvendor problem
Reza Lotfi, Gerhard-Wilhelm Weber, S. Mehdi Sajadifar and Nooshin Mardani
2018doi: 10.3934/jimo.2018143 +[Abstract](739) +[HTML](253) +[PDF](688.84KB)
Application of preservation technology for lifetime dependent products in an integrated production system
Muhammad Waqas Iqbal and Biswajit Sarkar
2018doi: 10.3934/jimo.2018144 +[Abstract](497) +[HTML](277) +[PDF](580.69KB)
Optimization of fourth order Sturm-Liouville type differential inclusions with initial point constraints
Elimhan N. Mahmudov
2018doi: 10.3934/jimo.2018145 +[Abstract](329) +[HTML](203) +[PDF](447.77KB)
Application of the preventive maintenance scheduling to increase the equipment reliability: Case study- bag filters in cement factory
Masoud Ebrahimi, Seyyed Mohammad Taghi Fatemi Ghomi and Behrooz Karimi
2018doi: 10.3934/jimo.2018146 +[Abstract](355) +[HTML](283) +[PDF](575.67KB)
Robust optimal consumption-investment strategy with non-exponential discounting
Jiaqin Wei, Danping Li and Yan Zeng
2018doi: 10.3934/jimo.2018147 +[Abstract](365) +[HTML](336) +[PDF](519.11KB)
Single machine and flowshop scheduling problems with sum-of-processing time based learning phenomenon
Xingong Zhang
2018doi: 10.3934/jimo.2018148 +[Abstract](346) +[HTML](183) +[PDF](317.95KB)
A three term Polak-Ribière-Polyak conjugate gradient method close to the memoryless BFGS quasi-Newton method
Min Li
2018doi: 10.3934/jimo.2018149 +[Abstract](451) +[HTML](280) +[PDF](555.36KB)
Mechanism design in a supply chain with ambiguity in private information
Feimin Zhong, Wei Zeng and Zhongbao Zhou
2018doi: 10.3934/jimo.2018151 +[Abstract](350) +[HTML](282) +[PDF](484.63KB)
Pricing and modularity decisions under competition
Feng Tao, Hao Shao and KinKeung Lai
2018doi: 10.3934/jimo.2018152 +[Abstract](372) +[HTML](258) +[PDF](577.79KB)
On the M-eigenvalue estimation of fourth-order partially symmetric tensors
Haitao Che, Haibin Chen and Yiju Wang
2018doi: 10.3934/jimo.2018153 +[Abstract](409) +[HTML](204) +[PDF](200.95KB)
Optimal investment and dividend for an insurer under a Markov regime switching market with high gain tax
Lin Xu, Dingjun Yao and Gongpin Cheng
2018doi: 10.3934/jimo.2018154 +[Abstract](411) +[HTML](369) +[PDF](573.09KB)
A simple and efficient technique to accelerate the computation of a nonlocal dielectric model for electrostatics of biomolecule
Jiao Li and Jinyong Ying
2018doi: 10.3934/jimo.2018155 +[Abstract](376) +[HTML](272) +[PDF](455.96KB)
Analysis of strategic customer behavior in fuzzy queueing systems
Gang Chen, Zaiming Liu and Jingchuan Zhang
2018doi: 10.3934/jimo.2018157 +[Abstract](383) +[HTML](257) +[PDF](497.66KB)
Option pricing formulas for generalized fuzzy stock model
Cuilian You and Le Bo
2018doi: 10.3934/jimo.2018158 +[Abstract](372) +[HTML](185) +[PDF](266.45KB)
A $p$-spherical section property for matrix Schatten-$p$ quasi-norm minimization
Yifu Feng and Min Zhang
2018doi: 10.3934/jimo.2018159 +[Abstract](259) +[HTML](192) +[PDF](330.29KB)
A hybrid chaos firefly algorithm for three-dimensional irregular packing problem
Chuanxin Zhao, Lin Jiang and Kok Lay Teo
2018doi: 10.3934/jimo.2018160 +[Abstract](313) +[HTML](278) +[PDF](678.77KB)
A fast algorithm for the semi-definite relaxation of the state estimation problem in power grids
Stephane Chretien and Paul Clarkson
2018doi: 10.3934/jimo.2018161 +[Abstract](199) +[HTML](240) +[PDF](392.91KB)
Group decision making approach based on possibility degree measure under linguistic interval-valued intuitionistic fuzzy set environment
Harish Garg and Kamal Kumar
2018doi: 10.3934/jimo.2018162 +[Abstract](363) +[HTML](217) +[PDF](455.76KB)
Some characterizations of robust solution sets for uncertain convex optimization problems with locally Lipschitz inequality constraints
Nithirat Sisarat, Rabian Wangkeeree and Gue Myung Lee
2018doi: 10.3934/jimo.2018163 +[Abstract](363) +[HTML](217) +[PDF](483.48KB)
An efficient heuristic algorithm for two-dimensional rectangular packing problem with central rectangle
Mao Chen, Xiangyang Tang, Zhizhong Zeng and Sanya Liu
2018doi: 10.3934/jimo.2018164 +[Abstract](289) +[HTML](200) +[PDF](746.91KB)
Strong vector equilibrium problems with LSC approximate solution mappings
Nguyen Ba Minh and Pham Huu Sach
2018doi: 10.3934/jimo.2018165 +[Abstract](249) +[HTML](188) +[PDF](393.96KB)
Continuous-time mean-variance portfolio selection with no-shorting constraints and regime-switching
Ping Chen and Haixiang Yao
2018doi: 10.3934/jimo.2018166 +[Abstract](263) +[HTML](235) +[PDF](496.6KB)
A two-warehouse probabilistic model with price discount on backorders under two levels of trade-credit policy
Sankar Kumar Roy, Magfura Pervin and Gerhard Wilhelm Weber
2018doi: 10.3934/jimo.2018167 +[Abstract](302) +[HTML](192) +[PDF](713.67KB)
Identification and robustness analysis of nonlinear hybrid dynamical system of genetic regulation in continuous culture
Qi Yang, Lei Wang, Enmin Feng, Hongchao Yin and Zhilong Xiu
2018doi: 10.3934/jimo.2018168 +[Abstract](219) +[HTML](183) +[PDF](729.87KB)
Evaluation strategy and mass balance for making decision about the amount of aluminum fluoride addition based on superheat degree
Weichao Yue, Weihua Gui, Xiaofang Chen, Zhaohui Zeng and Yongfang Xie
2018doi: 10.3934/jimo.2018169 +[Abstract](289) +[HTML](206) +[PDF](2000.5KB)
Optimality conditions for multiobjective fractional programming, via convexificators
Mansoureh Alavi Hejazi and Soghra Nobakhtian
2018doi: 10.3934/jimo.2018170 +[Abstract](248) +[HTML](223) +[PDF](329.76KB)
A new method for ranking decision making units using common set of weights: A developed criterion
Gholam Hassan Shirdel and Somayeh Ramezani-Tarkhorani
2018doi: 10.3934/jimo.2018171 +[Abstract](309) +[HTML](267) +[PDF](381.87KB)
Designing a hub location and pricing network in a competitive environment
Maryam Esmaeili and Samane Sedehzade
2018doi: 10.3934/jimo.2018172 +[Abstract](276) +[HTML](265) +[PDF](528.67KB)
Shipper collaboration in forward and reverse logistics
Xiaohui Lyu, Nengmin Wang, Zhen Yang and Haoxun Chen
2018doi: 10.3934/jimo.2018173 +[Abstract](469) +[HTML](183) +[PDF](834.07KB)
Vector-valued separation functions and constrained vector optimization problems: optimality and saddle points
Jiawei Chen, Shengjie Li and Jen-Chih Yao
2018doi: 10.3934/jimo.2018174 +[Abstract](202) +[HTML](67) +[PDF](413.09KB)
Optimal pricing and inventory strategies for introducing a new product based on demand substitution effects
Zhijie Sasha Dong, Wei Chen, Qing Zhao and Jingquan Li
2018doi: 10.3934/jimo.2018175 +[Abstract](113) +[HTML](66) +[PDF](371.29KB)
Risk-balanced territory design optimization for a Micro finance institution
Jesús Fabián López Pérez, Tahir Ekin, Jesus A. Jimenez and Francis A. Méndez Mediavilla
2018doi: 10.3934/jimo.2018176 +[Abstract](111) +[HTML](66) +[PDF](517.13KB)
Multi-objective robust cross-market mixed portfolio optimization under hierarchical risk integration
Han Yang, Jia Yue and Nan-jing Huang
2018doi: 10.3934/jimo.2018177 +[Abstract](145) +[HTML](57) +[PDF](624.0KB)
A real-time pricing scheme considering load uncertainty and price competition in smart grid market
Yeming Dai, Yan Gao, Hongwei Gao, Hongbo Zhu and Lu Li
2018doi: 10.3934/jimo.2018178 +[Abstract](122) +[HTML](61) +[PDF](421.47KB)
An executive model for network-level pavement maintenance and rehabilitation planning based on linear integer programming
Mahmoud Ameri and Armin Jarrahi
2018doi: 10.3934/jimo.2018179 +[Abstract](141) +[HTML](87) +[PDF](762.87KB)
Continuous-time mean-variance asset-liability management with stochastic interest rates and inflation risks
Huai-Nian Zhu, Cheng-Ke Zhang and Zhuo Jin
2018doi: 10.3934/jimo.2018180 +[Abstract](114) +[HTML](152) +[PDF](572.58KB)
Generalized ADMM with optimal indefinite proximal term for linearly constrained convex optimization
Fan Jiang, Zhongming Wu and Xingju Cai
2018doi: 10.3934/jimo.2018181 +[Abstract](129) +[HTML](56) +[PDF](525.56KB)
An iterated greedy algorithm with variable neighborhood descent for the planning of specialized diagnostic services in a segmented healthcare system
Rodolfo Mendoza-Gómez, Roger Z. Ríos-Mercado and Karla B. Valenzuela-Ocaña
2018doi: 10.3934/jimo.2018182 +[Abstract](85) +[HTML](74) +[PDF](672.24KB)
Financing strategies for a capital-constrained supplier under yield uncertainty
Hongjun Peng and Tao Pang
2018doi: 10.3934/jimo.2018183 +[Abstract](132) +[HTML](59) +[PDF](769.35KB)
Upper bounds for Z$ _1 $-eigenvalues of generalized Hilbert tensors
Juan Meng and Yisheng Song
2018doi: 10.3934/jimo.2018184 +[Abstract](107) +[HTML](49) +[PDF](311.86KB)
Extension of generalized solidarity values to interval-valued cooperative games
Deng-Feng Li, Yin-Fang Ye and Wei Fei
2018doi: 10.3934/jimo.2018185 +[Abstract](141) +[HTML](69) +[PDF](348.85KB)
A new class of positive semi-definite tensors
Yi Xu, Jinjie Liu and Liqun Qi
2018doi: 10.3934/jimo.2018186 +[Abstract](140) +[HTML](85) +[PDF](330.93KB)
Convergence analysis of a new iterative algorithm for solving split variational inclusion problems
Yan Tang
2019doi: 10.3934/jimo.2018187 +[Abstract](62) +[HTML](94) +[PDF](287.53KB)
An optimal maintenance strategy for multi-state systems based on a system linear integral equation and dynamic programming
Haibo Jin, Long Hai and Xiaoliang Tang
2018doi: 10.3934/jimo.2018188 +[Abstract](107) +[HTML](72) +[PDF](2265.99KB)
A symmetric Gauss-Seidel based method for a class of multi-period mean-variance portfolio selection problems
Ning Zhang
2018doi: 10.3934/jimo.2018189 +[Abstract](128) +[HTML](74) +[PDF](649.03KB)
A primal-dual interior-point method capable of rapidly detecting infeasibility for nonlinear programs
Yu-Hong Dai, Xin-Wei Liu and Jie Sun
2018doi: 10.3934/jimo.2018190 +[Abstract](122) +[HTML](61) +[PDF](595.71KB)
Empirical analysis and optimization of capital structure adjustment
Jinying Ma and Honglei Xu
2019doi: 10.3934/jimo.2018191 +[Abstract](119) +[HTML](70) +[PDF](238.15KB)
The (functional) law of the iterated logarithm of the sojourn time for a multiclass queue
Yongjiang Guo and Yuantao Song
2018doi: 10.3934/jimo.2018192 +[Abstract](92) +[HTML](68) +[PDF](759.85KB)
Priority queueing analysis of transaction-confirmation time for Bitcoin
Yoshiaki Kawase and Shoji Kasahara
2018doi: 10.3934/jimo.2018193 +[Abstract](129) +[HTML](79) +[PDF](440.0KB)
Utility maximization for bandwidth allocation in peer-to-peer file-sharing networks
Shiyong Li, Wei Sun and Quan-Lin Li
2018doi: 10.3934/jimo.2018194 +[Abstract](199) +[HTML](101) +[PDF](425.19KB)
Performance analysis and optimization for cognitive radio networks with a finite primary user buffer and a probability returning scheme
Yuan Zhao and Wuyi Yue
2018doi: 10.3934/jimo.2018195 +[Abstract](136) +[HTML](67) +[PDF](419.73KB)
Performance evaluation and analysis of a discrete queue system with multiple working vacations and non-preemptive priority
Zhanyou Ma, Wenbo Wang and Linmin Hu
2018doi: 10.3934/jimo.2018196 +[Abstract](110) +[HTML](58) +[PDF](675.39KB)
An imperfect sensing-based channel reservation strategy in CRNs and its performance evaluation
Jianping Liu and Shunfu Jin
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