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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.
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  • JIMO is published by the American Institute of Mathematical Sciences and sponsored by Curtin University and Zhejiang University. All rights reserved.

  

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Linearized block-wise alternating direction method of multipliers for multiple-block convex programming
Zhongming Wu, Xingju Cai and Deren Han
2018, 14(3) : 833-855 doi: 10.3934/jimo.2017078 +[Abstract](910) +[HTML](407) +[PDF](2338.72KB)
Abstract:

The alternating direction method of multipliers (ADMM) is an efficient approach for two-block separable convex programming, while it is not necessarily convergent when extending this method to multiple-block case directly. One appealing method is that converts the multiple-block variables into two groups firstly and then adopts the classic ADMM with inexact solving to the resulting model, which is so-called block-wise ADMM. However, solving the subproblems in block-wise ADMM are usually difficult when the linear mappings in the constraints are not diagonal or the proximal operator of the objective function is not easy to evaluate. Therefore, in this paper, we adopt the linearization technique to different terms presented in the block-wise ADMM subproblems, and obtain three kinds of linearized block-wise ADMM which make the subproblems easy to solve in general case. Moreover, under some mild conditions, we prove the global convergence of the three new methods and report some preliminary numerical results to indicate the feasibility and effectiveness of the linearization strategy.

Ergodic control for a mean reverting inventory model
Jingzhen Liu, Ka Fai Cedric Yiu and Alain Bensoussan
2018, 14(3) : 857-876 doi: 10.3934/jimo.2017079 +[Abstract](859) +[HTML](389) +[PDF](466.54KB)
Abstract:

In this paper, an inventory control problem with a mean reverting inventory model is considered. The demand is assumed to follow a continuous diffusion process and a mean-reverting process which will take into account of the demand dependent of the inventory level. By choosing when and how much to stock, the objective is to minimize the long-run average cost, which consists of transaction cost for each replenishment, holding and shortage costs associated with the inventory level. An approach for deriving the average cost value of infinite time horizon is developed. By applying the theory of stochastic impulse control, we show that a unique (s, S) policy is indeed optimal. The main contribution of this work is to present a method to derive the (s, S) policy and hence the minimal long-run average cost.

Optimal production schedule in a single-supplier multi-manufacturer supply chain involving time delays in both levels
Kar Hung Wong, Yu Chung Eugene Lee, Heung Wing Joseph Lee and Chi Kin Chan
2018, 14(3) : 877-894 doi: 10.3934/jimo.2017080 +[Abstract](586) +[HTML](354) +[PDF](491.76KB)
Abstract:

This paper considers an optimal production scheduling problem in a single-supplier-multi-manufacturer supply chain involving production and delivery time-delays, where the time-delays for the supplier and the manufacturers can have different values. The objective of both levels is to find an optimal production schedule so that their production rates and their inventory levels are close to the ideal values as much as possible in the whole planning horizon. Each manufacturer's problem, which involves one time-delayed argument, can be solved analytically by using the necessary condition of optimality. To tackle the supplier's problem involving $n+1$ different time-delayed arguments (where $n$ is the number of manufacturers) by the above approach, we need to introduce a model transformation technique which converts the original system of combined algebraic/differential equations with $n+1$ time-delayed arguments into a sum of $n$ sub-systems, each of which consists of only two time-delayed arguments. Thus, the supplier's problem can also be solved analytically. Numerical examples consisting of a single supplier and four manufacturers are solved to provide insight of the optimal strategies of both levels.

On optimality conditions and duality for non-differentiable interval-valued programming problems with the generalized (F, ρ)-convexity
Xiuhong Chen and Zhihua Li
2018, 14(3) : 895-912 doi: 10.3934/jimo.2017081 +[Abstract](653) +[HTML](335) +[PDF](390.82KB)
Abstract:

Because interval-valued programming problem is used to tackle interval uncertainty that appears in many mathematical or computer models of some deterministic real-world phenomena, this paper considers a non-differentiable interval-valued optimization problem in which objective and all constraint functions are interval-valued functions, and the involved endpoint functions in interval-valued functions are locally Lipschitz and Clarke sub-differentiable. A necessary optimality condition is first established. Some sufficient optimality conditions of the considered problem are derived for a feasible solution to be an efficient solution under the $G-(F, ρ)$ convexity assumption. Weak, strong, and converse duality theorems for Wolfe and Mond-Weir type duals are also obtained in order to relate the efficient solution of primal and dual inter-valued programs.

Indefinite LQ optimal control with process state inequality constraints for discrete-time uncertain systems
Yuefen Chen and Yuanguo Zhu
2018, 14(3) : 913-930 doi: 10.3934/jimo.2017082 +[Abstract](708) +[HTML](342) +[PDF](435.61KB)
Abstract:

Uncertainty theory is a branch of axiomatic mathematics that deals with human uncertainty. Based on uncertainty theory, this paper discusses linear quadratic (LQ) optimal control with process state inequality constraints for discrete-time uncertain systems, where the weighting matrices in the cost function are assumed to be indefinite. By means of the maximum principle with mixed inequality constraints, we present a necessary condition for the existence of optimal state feedback control that involves a constrained difference equation. Moreover, the existence of a solution to the constrained difference equation is equivalent to the solvability of the indefinite LQ problem. Furthermore, the well-posedness of the indefinite LQ problem is proved. Finally, an example is provided to demonstrate the effectiveness of our theoretical results.

Analysis of the Newsboy Problem subject to price dependent demand and multiple discounts
Shouyu Ma, Zied Jemai, Evren Sahin and Yves Dallery
2018, 14(3) : 931-951 doi: 10.3934/jimo.2017083 +[Abstract](577) +[HTML](383) +[PDF](528.9KB)
Abstract:

Existing papers on the Newsboy Problem that deal with price dependent demand and multiple discounts often analyze those two problems separately. This paper considers a setting where price dependence and multiple discounts are observed simultaneously, as is the case of the apparel industry. Henceforth, we analyze the optimal order quantity, initial selling price and discount scheme in the News-Vendor Problem context. The term of discount scheme is often used to specify the number of discounts as well as the discount percentages. We present a solution procedure of the problem with general demand distributions and two types of price-dependent demand: additive case and multiplicative case. We provide interesting insights based on a numerical study. An approximation method is proposed which confirms our numerical results.

Solutions for bargaining games with incomplete information: General type space and action space
Feimin Zhong, Jinxing Xie and Jing Jiao
2018, 14(3) : 953-966 doi: 10.3934/jimo.2017084 +[Abstract](869) +[HTML](379) +[PDF](367.36KB)
Abstract:

A Nash bargaining solution for Bayesian collective choice problem with general type and action spaces is built in this paper. Such solution generalizes the bargaining solution proposed by Myerson who uses finite sets to characterize the type and action spaces. However, in the real economics and industries, types and actions can hardly be characterized by a finite set in some circumstances. Hence our generalization expands the applications of bargaining theory in economic and industrial models.

Single-machine rescheduling problems with learning effect under disruptions
Mingbao Cheng, Shuxian Xiao and Guosheng Liu
2018, 14(3) : 967-980 doi: 10.3934/jimo.2017085 +[Abstract](937) +[HTML](435) +[PDF](355.61KB)
Abstract:

Rescheduling in production planning means to schedule the sequenced jobs again together with a set of new arrived jobs so as to generate a new feasible schedule, which creates disruptions to any job between the original and adjusted position. In this paper, we study rescheduling problems with learning effect under disruption constraints to minimize several classical objectives, where learning effect means that the workers gain experience during the process of operation and make the actual processing time of jobs shorter than their normal processing time. The objectives are to find optimal sequences to minimize the makespan and the total completion time under a limit of the disruptions from the original schedule. For the considered objectives under a single disruption constraint or a disruption cost constraint, we propose polynomial-time algorithms and pseudo-polynomial time algorithms, respectively.

On the convergence properties of a smoothing approach for mathematical programs with symmetric cone complementarity constraints
Yi Zhang, Liwei Zhang and Jia Wu
2018, 14(3) : 981-1005 doi: 10.3934/jimo.2017086 +[Abstract](604) +[HTML](715) +[PDF](544.38KB)
Abstract:

This paper focuses on a class of mathematical programs with symmetric cone complementarity constraints (SCMPCC). The explicit expression of C-stationary condition and SCMPCC-linear independence constraint qualification (denoted by SCMPCC-LICQ) for SCMPCC are first presented. We analyze a parametric smoothing approach for solving this program in which SCMPCC is replaced by a smoothing problem \begin{document}$P_{\varepsilon}$\end{document} depending on a (small) parameter \begin{document}$\varepsilon$\end{document}. We are interested in the convergence behavior of the feasible set, stationary points, solution mapping and optimal value function of problem \begin{document}$P_{\varepsilon}$\end{document} when \begin{document}$\varepsilon \to 0$\end{document} under SCMPCC-LICQ. In particular, it is shown that the convergence rate of Hausdorff distance between feasible sets \begin{document}$\mathcal{F}_{\varepsilon}$\end{document} and \begin{document}$\mathcal{F}$\end{document} is of order \begin{document}$\mbox{O}(|\varepsilon|)$\end{document} and the solution mapping and optimal value of \begin{document}$P_{\varepsilon}$\end{document} are outer semicontinuous and locally Lipschitz continuous at \begin{document}$\varepsilon=0$\end{document} respectively. Moreover, any accumulation point of stationary points of \begin{document}$P_{\varepsilon}$\end{document} is a C-stationary point of SCMPCC under SCMPCC-LICQ.

Uniqueness of solutions to fuzzy relational equations regarding Max-av composition and strong regularity of the matrices in Max-av algebra
Jun Xie, Jinlong Yuan, Dongxia Wang, Weili Liu and Chongyang Liu
2018, 14(3) : 1007-1022 doi: 10.3934/jimo.2017087 +[Abstract](709) +[HTML](334) +[PDF](371.85KB)
Abstract:

The problem of solving a fuzzy relational equation plays an important role in fuzzy systems. In this paper, we investigate the uniqueness of solutions of fuzzy relational equations regarding Max-av composition through the relationship between minimal solutions and minimal coverage. A method for verifying the strong regularity of matrices in fuzzy Max-av algebra is proposed in the paper.

Optimal decisions for a dual-channel supply chain under information asymmetry
Mingyong Lai, Hongzhao Yang, Erbao Cao, Duo Qiu and Jing Qiu
2018, 14(3) : 1023-1040 doi: 10.3934/jimo.2017088 +[Abstract](916) +[HTML](602) +[PDF](559.23KB)
Abstract:

We discuss the optimal pricing and production decisions in a channel supply chain under symmetric and asymmetric information cases. We compare the optimum policies between the asymmetric information and the full information cases. We analyze the effect of the reseller's cost information on the profits of the partners. We find that information asymmetry is beneficial to the reseller, but is inefficient to the manufacturer and the whole supply chain. The information value increases with uncertainties arising from the reseller's cost structure. The dual-channel supply chain can share information and achieve coordination, if the lump-sum side payment from the manufacturer can make up the loss of the reseller due to sharing information. Finally, the effectiveness of the proposed models is verified by numerical examples.

Second-order optimality conditions for cone constrained multi-objective optimization
Liwei Zhang, Jihong Zhang and Yule Zhang
2018, 14(3) : 1041-1054 doi: 10.3934/jimo.2017089 +[Abstract](686) +[HTML](354) +[PDF](424.89KB)
Abstract:

The aim of this paper is to develop second-order necessary and second-order sufficient optimality conditions for cone constrained multi-objective optimization. First of all, we derive, for an abstract constrained multi-objective optimization problem, two basic necessary optimality theorems for weak efficient solutions and a second-order sufficient optimality theorem for efficient solutions. Secondly, basing on the optimality results for the abstract problem, we demonstrate, for cone constrained multi-objective optimization problems, the first-order and second-order necessary optimality conditions under Robinson constraint qualification as well as the second-order sufficient optimality conditions under upper second-order regularity for the conic constraint. Finally, using the optimality conditions for cone constrained multi-objective optimization obtained, we establish optimality conditions for polyhedral cone, second-order cone and semi-definite cone constrained multi-objective optimization problems.

Optimal risk control and dividend strategies in the presence of two reinsurers: Variance premium principle
Dingjun Yao and Kun Fan
2018, 14(3) : 1055-1083 doi: 10.3934/jimo.2017090 +[Abstract](665) +[HTML](332) +[PDF](557.56KB)
Abstract:

This paper assumes that an insurer can control the dividend, refinancing and reinsurance strategies dynamically. Particularly, the reinsurance is provided by two reinsurers and the variance premium principle is applied in pricing insurance contracts. Using the optimal control method, we identify the optimal strategies for maximizing the insurance company's value. Meanwhile, the effects of transaction costs and terminal value at bankruptcy are investigated. The results turn out that the insurer should consider refinancing when and only when the transaction costs and terminal value are relatively low. Also, it should buy less reinsurance when the surplus increases, while the proportion of risk allocation between two reinsurers remains constant. When the dividend rate is unbounded, dividends should be paid according to the barrier strategy. When the dividend rate is restricted, dividends should be distributed according to the threshold strategy. Some examples are provided to illustrate the implementation of our results.

A variational inequality approach for constrained multifacility Weber problem under gauge
Jianlin Jiang, Shun Zhang, Su Zhang and Jie Wen
2018, 14(3) : 1085-1104 doi: 10.3934/jimo.2017091 +[Abstract](706) +[HTML](383) +[PDF](482.28KB)
Abstract:

The classical multifacility Weber problem (MFWP) is one of the most important models in facility location. This paper considers more general and practical case of MFWP called constrained multifacility Weber problem (CMFWP), in which the gauge is used to measure distances and locational constraints are imposed to facilities. In particular, we develop a variational inequality approach for solving it. The CMFWP is reformulated into a linear variational inequality, whose special structures lead to new projection-type methods. Global convergence of the projection-type methods is proved under mild assumptions. Some preliminary numerical results are reported which verify the effectiveness of proposed methods.

Portfolio procurement policies for budget-constrained supply chains with option contracts and external financing
Benyong Hu, Xu Chen, Felix T. S. Chan and Chao Meng
2018, 14(3) : 1105-1122 doi: 10.3934/jimo.2018001 +[Abstract](609) +[HTML](332) +[PDF](678.95KB)
Abstract:

This study investigates a budget-constrained retailer's optimal financing and portfolio order policies in a supply chain with option contracts. To this end, we develop two analytical models: a basic model with wholesale price contracts as the benchmark and a model with option contracts. Each model considers both the financing scenario and the no-financing scenario. Our analyses show that the retailer uses wholesale price contracts for procurement, instead of option contracts, when its budget is extremely tight. The retailer starts to use a combination of these two types of contracts when the budget constraint is relieved. As the budget increases, the retailer adjusts the procurement ratio through both types until it can implement the optimal ordering policy with an adequate budget. In addition, the condition for seeking external financing is determined by the retailer's initial budget, financing cost, and profit margin.

Modeling and analyzing the chaotic behavior in supply chain networks: a control theoretic approach
Hamid Norouzi Nav, Mohammad Reza Jahed Motlagh and Ahmad Makui
2018, 14(3) : 1123-1141 doi: 10.3934/jimo.2018002 +[Abstract](643) +[HTML](340) +[PDF](473.12KB)
Abstract:

Supply chain network (SCN) is a complex nonlinear system and may have a chaotic behavior. This network involves multiple entities that cooperate to satisfy customers demand and control network inventory. The policy of each entity in demand forecast and inventory control, and constraints and uncertainties of demand and supply (or production) significantly affects the complexity of its behavior. In this paper, a supply chain network is investigated that has two ordering policies: smooth ordering policy and a new policy that is designed based on proportional-derivative controller. Two forecast methods are used in the network: moving average (MA) forecast and exponential smoothing (ES) forecast. The supply capacity of each entity is constrained. The effect of demand elasticity, which is the result of marketing activities, is involved in the SCN. The inventory adjustment parameter and demand elasticity are the most important decision parameters in the SCN. Overall, four scenarios are designed for modeling and analyzing the chaotic behavior of the network and in each scenario the maximum Lyapunov exponent is calculated and drawn. Finally, the best scenario for decision-making is obtained.

A new proximal chebychev center cutting plane algorithm for nonsmooth optimization and its convergence
Jie Shen, Jian Lv, Fang-Fang Guo, Ya-Li Gao and Rui Zhao
2018, 14(3) : 1143-1155 doi: 10.3934/jimo.2018003 +[Abstract](488) +[HTML](331) +[PDF](435.3KB)
Abstract:

Motivated by the proximal-like bundle method [K. C. Kiwiel, Journal of Optimization Theory and Applications, 104(3) (2000), 589-603.], we establish a new proximal Chebychev center cutting plane algorithm for a type of nonsmooth optimization problems. At each step of the algorithm, a new optimality measure is investigated instead of the classical optimality measure. The convergence analysis shows that an \begin{document}$\varepsilon$\end{document}-optimal solution can be obtained within \begin{document}$O(1/\varepsilon^3)$\end{document} iterations. The numerical result is presented to show the validity of the conclusion and it shows that the method is competitive to the classical proximal-like bundle method.

Solving the interval-valued optimization problems based on the concept of null set
Hsien-Chung Wu
2018, 14(3) : 1157-1178 doi: 10.3934/jimo.2018004 +[Abstract](573) +[HTML](291) +[PDF](379.56KB)
Abstract:

We introduce the concept of null set in the space of all bounded closed intervals. Based on this concept, we can define two partial orderings according to the substraction and Hukuhara difference between any two bounded closed intervals, which will be used to define the solution concepts of interval-valued optimization problems. On the other hand, we transform the interval-valued optimization problems into the conventional vector optimization problem. Under these settings, we can apply the technique of scalarization to solve this transformed vector optimization problem. Finally, we show that the optimal solution of the scalarized problem is also the optimal solution of the original interval-valued optimization problem.

A threshold-based risk process with a waiting period to pay dividends
Steve Drekic, Jae-Kyung Woo and Ran Xu
2018, 14(3) : 1179-1201 doi: 10.3934/jimo.2018005 +[Abstract](528) +[HTML](317) +[PDF](668.34KB)
Abstract:

In this paper, a modified dividend strategy is proposed by delaying dividend payments until the insurer's surplus level remains at or above a threshold level b for a predetermined period of time h. We consider two cases depending on whether the period of time sustained at or above level b is counted either consecutively or accumulatively (referred to as standard or cumulative waiting period). In both cases, we develop a recursive computational procedure to calculate the expected total discounted dividend payments made prior to ruin for a discrete-time Sparre Andersen renewal risk process. By varying the values of b and h, a numerical study of the trade-off effects between finite-time ruin probabilities and expected total discounted dividend payments is investigated under a variety of scenarios. Finally, a generalized threshold-based strategy with a delayed dividend payment rule is studied under the compound binomial model.

Competition of pricing and service investment between iot-based and traditional manufacturers
Zhiping Zhou, Xinbao Liu, Jun Pei, Panos M. Pardalos and Hao Cheng
2018, 14(3) : 1203-1218 doi: 10.3934/jimo.2018006 +[Abstract](523) +[HTML](372) +[PDF](586.4KB)
Abstract:

This paper develops a multi-period product pricing and service investment model to discuss the optimal decisions of the participants in a supplier-dominant supply chain under uncertainty. The supply chain consists of a risk-neutral supplier and two risk-averse manufacturers, of which one manufacturer can provide real-time customer service based on the Internet of Things (IoT). In each period of the Stackelberg game, the supplier decides its wholesale price to maximize the profit while the manufacturers make pricing and service investment decisions to maximize their respective utility. Using the backward induction, we first investigate the effects of risk-averse coefficients and price sensitive coefficients on the optimal decisions of the manufacturers. We find that the decisions of one manufacturer are inversely proportional to both risk-averse coefficients and its own price sensitive coefficient, while proportional to the price sensitive coefficient of its rival. Then, we derive the first-best wholesale price of the supplier and analyze how relevant factors affect the results. A numerical example is conducted to verify our conclusions and demonstrate the advantages of the IoT technology in long-term competition. Finally, we summarize the main contributions of this paper and put forward some advices for further study.

A performance comparison and evaluation of metaheuristics for a batch scheduling problem in a multi-hybrid cell manufacturing system with skilled workforce assignment
Omer Faruk Yilmaz and Mehmet Bulent Durmusoglu
2018, 14(3) : 1219-1249 doi: 10.3934/jimo.2018007 +[Abstract](853) +[HTML](852) +[PDF](1181.83KB)
Abstract:

This paper focuses on the batch scheduling problem in multi-hybrid cell manufacturing systems (MHCMS) in a dual-resource constrained (DRC) setting, considering skilled workforce assignment (SWA). This problem consists of finding the sequence of batches on each cell, the starting time of each batch, and assigning employees to the operations of batches in accordance with the desired objective. Because handling both the scheduling and assignment decisions simultaneously presents a challenging optimization problem, it is difficult to solve the formulated model, even for small-sized problem instances. Three metaheuristics are proposed to solve the batch scheduling problem, namely the genetic algorithm (GA), simulated annealing (SA) algorithm, and artificial bee colony (ABC) algorithm. A serial scheduling scheme (SSS) is introduced and employed in all metaheuristics to obtain a feasible schedule for each individual. The main aim of this study is to identify an effective metaheuristic for determining the scheduling and assignment decisions that minimize the average cell response time. Detailed computational experiments were conducted, based on real production data, to evaluate the performance of the metaheuristics. The experimental results show that the performance of the proposed ABC algorithm is superior to other metaheuristics for different levels of experimental factors determined for the number of batches and the employee flexibility.

Computational optimal control of 1D colloid transport by solute gradients in dead-end micro-channels
Tehuan Chen, Chao Xu and Zhigang Ren
2018, 14(3) : 1251-1269 doi: 10.3934/jimo.2018052 +[Abstract](357) +[HTML](235) +[PDF](661.75KB)
Abstract:

Diffusiophoresis is a common phenomenon that occurs when colloids are placed in the non-uniform solute concentration. It generates solute gradients which force the colloids to transfer toward or away from the higher solute concentration side. In this paper, we consider the input sequence control of the colloid transport in a dead-end micro-channel with a boundary solute concentration being manipulated, which has a wide range of applications such as drug delivery, biology transport, oil recovery system and so on. We model this process by a coupled system, which involves the solute diffusion equation and the colloid transport model. Then an optimal control problem is formulated, in which the goal is to minimize colloid density distribution deviation between the computational one and the target at a pre-specified terminal time. To solve this partial differential equation (PDE) optimal control problem, we first apply the control parameterization method to discretize the boundary control and transfer it into an optimal parameter selection problem. Then, using the variational method, the gradient of the objective function with respect to the decision parameters can be derived, which depends on the solution of the coupled system and the costate system. Based on this, we propose an effective computational method and a gradient-based optimization algorithm to solve the optimal control problem numerically. Finally, we give the simulation results to demonstrate that the objective function based on the proposed method is less nearly two orders of magnitude than that of a constant value control strategy, which well illustrates the effectiveness of the proposed method.

Robust solution for a minimax regret hub location problem in a fuzzy-stochastic environment
Saeid Abbasi-Parizi, Majid Aminnayeri and Mahdi Bashiri
2018, 14(3) : 1271-1295 doi: 10.3934/jimo.2018083 +[Abstract](170) +[HTML](161) +[PDF](2909.41KB)
Abstract:

In the present paper, a robust approach is used to locate hub facilities considering network risks. An additional objective function, minimax regret, is added to the classical objective function in the hub location problem. In the proposed model, risk factors such as availability, security, delay time, environmental guidelines and regional air pollution are considered using triangular fuzzy-stochastic numbers. Then an equivalent crisp single objective model is proposed and solved by the Benders decomposition method. Finally, the results of both Benders decomposition and commercial optimization software are compared for different instances. Numerical instances were developed based on the well-known Civil Aeronautics Board (CAB) data set, considering different levels of uncertainty in parameters. The results show that the proposed model is capable of selecting nodes as sustainable hubs. Also, the results confirm that using Benders decomposition is more efficient than using classical solution methods for large-scale problems.

Strategic behavior and optimal strategies in an M/G/1 queue with Bernoulli vacations
Sheng Zhu and Jinting Wang
2018doi: 10.3934/jimo.2018008 +[Abstract](661) +[HTML](360) +[PDF](576.12KB)
Optimal investment and dividend payment strategies with debt management and reinsurance
Qian Zhao, Zhuo Jin and Jiaqin Wei
2018doi: 10.3934/jimo.2018009 +[Abstract](544) +[HTML](335) +[PDF](406.3KB)
Modeling and computation of energy efficiency management with emission permits trading
Shuhua Zhang, Xinyu Wang and Song Wang
2018doi: 10.3934/jimo.2018010 +[Abstract](556) +[HTML](360) +[PDF](956.83KB)
Disaster relief routing in limited capacity road networks with heterogeneous flows
Linet Ozdamar, Dilek Tuzun Aksu, Elifcan Yasa and Biket Ergunes
2018doi: 10.3934/jimo.2018011 +[Abstract](517) +[HTML](622) +[PDF](698.42KB)
A power penalty method for a class of linearly constrained variational inequality
Ming Chen and Chongchao Huang
2018doi: 10.3934/jimo.2018012 +[Abstract](495) +[HTML](374) +[PDF](439.58KB)
Compensation plan, pricing and production decisions with inventory-dependent salvage value, and asymmetric risk-averse sales agent
Kegui Chen, Xinyu Wang, Min Huang and Wai-Ki Ching
2018doi: 10.3934/jimo.2018013 +[Abstract](642) +[HTML](383) +[PDF](560.17KB)
Performance optimization of parallel-distributed processing with checkpointing for cloud environment
Tsuguhito Hirai, Hiroyuki Masuyama, Shoji Kasahara and Yutaka Takahashi
2018doi: 10.3934/jimo.2018014 +[Abstract](574) +[HTML](436) +[PDF](421.67KB)
Optimal liability ratio and dividend payment strategies under catastrophic risk
Linyi Qian, Lyu Chen, Zhuo Jin and Rongming Wang
2018doi: 10.3934/jimo.2018015 +[Abstract](570) +[HTML](522) +[PDF](463.38KB)
Parameter identification and numerical simulation for the exchange coefficient of dissolved oxygen concentration under ice in a boreal lake
Qinxi Bai, Zhijun Li, Lei Wang, Bing Tan and Enmin Feng
2018doi: 10.3934/jimo.2018016 +[Abstract](481) +[HTML](391) +[PDF](2785.48KB)
Scheduling family jobs on an unbounded parallel-batch machine to minimize makespan and maximum flow time
Zhichao Geng and Jinjiang Yuan
2018doi: 10.3934/jimo.2018017 +[Abstract](663) +[HTML](417) +[PDF](336.92KB)
Novel correlation coefficients under the intuitionistic multiplicative environment and their applications to decision-making process
Harish Garg
2018doi: 10.3934/jimo.2018018 +[Abstract](549) +[HTML](436) +[PDF](430.25KB)
Optimal pricing and inventory management for a loss averse firm when facing strategic customers
Ruopeng Wang, Jinting Wang and Chang Sun
2018doi: 10.3934/jimo.2018019 +[Abstract](563) +[HTML](376) +[PDF](500.75KB)
Analysis of a dynamic premium strategy: From theoretical and marketing perspectives
Wing Yan Lee and Fangda Liu
2018doi: 10.3934/jimo.2018020 +[Abstract](480) +[HTML](346) +[PDF](386.0KB)
Frequency $H_{2}/H_{∞}$ optimizing control for isolated microgrid based on IPSO algorithm
Zhong-Qiang Wu and Xi-Bo Zhao
2018doi: 10.3934/jimo.2018021 +[Abstract](529) +[HTML](297) +[PDF](1111.93KB)
Adjoint-based parameter and state estimation in 1-D magnetohydrodynamic (MHD) flow system
Zhigang Ren, Shan Guo, Zhipeng Li and Zongze Wu
2018doi: 10.3934/jimo.2018022 +[Abstract](519) +[HTML](333) +[PDF](998.36KB)
The modified inertial relaxed CQ algorithm for solving the split feasibility problems
Suthep Suantai, Nattawut Pholasa and Prasit Cholamjiak
2018doi: 10.3934/jimo.2018023 +[Abstract](914) +[HTML](462) +[PDF](454.66KB)
Tunneling behaviors of two mutual funds
Lin He, Zongxia Liang and Xiaoyang Zhao
2018doi: 10.3934/jimo.2018024 +[Abstract](574) +[HTML](364) +[PDF](1290.14KB)
A generalized approach to sparse and stable portfolio optimization problem
Zhifeng Dai and Fenghua Wen
2018doi: 10.3934/jimo.2018025 +[Abstract](569) +[HTML](544) +[PDF](378.08KB)
Selective void creation/filling for variable size packets and multiple wavelengths
Kurt Van Hautegem, Wouter Rogiest and Herwig Bruneel
2018doi: 10.3934/jimo.2018026 +[Abstract](510) +[HTML](354) +[PDF](3994.36KB)
Optimal impulse control of a mean-reverting inventory with quadratic costs
Yanqing Hu, Zaiming Liu and Jinbiao Wu
2018doi: 10.3934/jimo.2018027 +[Abstract](467) +[HTML](325) +[PDF](446.08KB)
Times until service completion and abandonment in an M/M/$ m$ preemptive-resume LCFS queue with impatient customers
Hideaki Takagi
2018doi: 10.3934/jimo.2018028 +[Abstract](386) +[HTML](295) +[PDF](587.61KB)
Performance evaluation and optimization of cognitive radio networks with adjustable access control for multiple secondary users
Yuan Zhao and Wuyi Yue
2018doi: 10.3934/jimo.2018029 +[Abstract](416) +[HTML](283) +[PDF](367.47KB)
Multiserver retrial queue with setup time and its application to data centers
Tuan Phung-Duc and Ken'ichi Kawanishi
2018doi: 10.3934/jimo.2018030 +[Abstract](532) +[HTML](335) +[PDF](347.21KB)
Delay characteristics in place-reservation queues with class-dependent service times
Sabine Wittevrongel, Bart Feyaerts, Herwig Bruneel and Stijn De Vuyst
2018doi: 10.3934/jimo.2018031 +[Abstract](436) +[HTML](348) +[PDF](675.25KB)
The inexact log-exponential regularization method for mathematical programs with vertical complementarity constraints
Liping Pang, Na Xu and Jian Lv
2018doi: 10.3934/jimo.2018032 +[Abstract](272) +[HTML](192) +[PDF](459.3KB)
Optimal stopping investment with non-smooth utility over an infinite time horizon
Xiaoshan Chen, Xun Li and Fahuai Yi
2018doi: 10.3934/jimo.2018033 +[Abstract](278) +[HTML](218) +[PDF](454.0KB)
Optimal design of finite precision and infinite precision non-uniform cosine modulated filter bank
Hai Huyen Dam and Wing-Kuen Ling
2018doi: 10.3934/jimo.2018034 +[Abstract](264) +[HTML](202) +[PDF](422.4KB)
A novel modeling and smoothing technique in global optimization
Ahmet Sahiner, Nurullah Yilmaz and Gulden Kapusuz
2018doi: 10.3934/jimo.2018035 +[Abstract](274) +[HTML](202) +[PDF](793.05KB)
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
2018doi: 10.3934/jimo.2018036 +[Abstract](296) +[HTML](186) +[PDF](720.28KB)
Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step
Yuan Shen and Lei Ji
2018doi: 10.3934/jimo.2018037 +[Abstract](286) +[HTML](180) +[PDF](1451.36KB)
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
2018doi: 10.3934/jimo.2018038 +[Abstract](274) +[HTML](191) +[PDF](679.02KB)
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
2018doi: 10.3934/jimo.2018039 +[Abstract](363) +[HTML](194) +[PDF](793.61KB)
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
2018doi: 10.3934/jimo.2018040 +[Abstract](350) +[HTML](240) +[PDF](544.9KB)
A parallel water flow algorithm with local search for solving the quadratic assignment problem
Kien Ming Ng and Trung Hieu Tran
2018doi: 10.3934/jimo.2018041 +[Abstract](267) +[HTML](238) +[PDF](624.96KB)
Pricing options on investment project expansions under commodity price uncertainty
Nan Li and Song Wang
2018doi: 10.3934/jimo.2018042 +[Abstract](236) +[HTML](197) +[PDF](1085.46KB)
A slacks-based model for dynamic data envelopment analysis
Mohammad Afzalinejad and Zahra Abbasi
2018doi: 10.3934/jimo.2018043 +[Abstract](268) +[HTML](200) +[PDF](618.43KB)
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
2018doi: 10.3934/jimo.2018044 +[Abstract](280) +[HTML](203) +[PDF](360.62KB)
On a modified extragradient method for variational inequality problem with application to industrial electricity production
Yekini Shehu and Olaniyi Iyiola
2018doi: 10.3934/jimo.2018045 +[Abstract](341) +[HTML](453) +[PDF](549.12KB)
Pricing decisions for complementary products in a fuzzy dual-channel supply chain
Lisha Wang, Huaming Song, Ding Zhang and Hui Yang
2018doi: 10.3934/jimo.2018046 +[Abstract](256) +[HTML](215) +[PDF](4306.13KB)
Effect of Bitcoin fee on transaction-confirmation process
Shoji Kasahara and Jun Kawahara
2018doi: 10.3934/jimo.2018047 +[Abstract](326) +[HTML](211) +[PDF](416.61KB)
A class of two-stage distributionally robust games
Bin Li, Jie Sun, Honglei Xu and Min Zhang
2018doi: 10.3934/jimo.2018048 +[Abstract](339) +[HTML](196) +[PDF](383.18KB)
A potential reduction method for tensor complementarity problems
Kaili Zhang, Haibin Chen and Pengfei Zhao
2018doi: 10.3934/jimo.2018049 +[Abstract](289) +[HTML](215) +[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](314) +[HTML](258) +[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](253) +[HTML](286) +[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](236) +[HTML](207) +[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](258) +[HTML](179) +[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](255) +[HTML](195) +[PDF](640.38KB)
Chance-constrained multiperiod mean absolute deviation uncertain portfolio selection
Peng Zhang
2018doi: 10.3934/jimo.2018056 +[Abstract](275) +[HTML](201) +[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](252) +[HTML](171) +[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](286) +[HTML](202) +[PDF](242.47KB)
Multi-period portfolio optimization in a defined contribution pension plan during the decumulation phase
Chuangwei Lin, Li Zeng and Huiling Wu
2018doi: 10.3934/jimo.2018059 +[Abstract](290) +[HTML](181) +[PDF](538.27KB)
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](232) +[HTML](233) +[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](299) +[HTML](208) +[PDF](1469.6KB)
Immediate schedule adjustment and semidefinite relaxation
Jinling Zhao, Wei Chen and Su Zhang
2018doi: 10.3934/jimo.2018062 +[Abstract](286) +[HTML](171) +[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](168) +[HTML](97) +[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](153) +[HTML](158) +[PDF](747.17KB)
Optimal information policy in discrete-time queues with strategic customers
Veena Goswami and Gopinath Panda
2018doi: 10.3934/jimo.2018065 +[Abstract](114) +[HTML](187) +[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](176) +[HTML](96) +[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](201) +[HTML](110) +[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](147) +[HTML](148) +[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](156) +[HTML](100) +[PDF](513.41KB)
Partially symmetric nonnegative rectangular tensors and copositive rectangular tensors
Yining Gu and Wei Wu
2018doi: 10.3934/jimo.2018070 +[Abstract](126) +[HTML](84) +[PDF](358.31KB)
Henig proper efficiency in vector optimization with variable ordering structure
Marius Durea, Elena-Andreea Florea and Radu Strugariu
2018doi: 10.3934/jimo.2018071 +[Abstract](148) +[HTML](122) +[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](113) +[HTML](212) +[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](207) +[HTML](141) +[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](5161) +[HTML](1634) +[PDF](2205.6KB)
Test of copositive tensors
Li Li, Xinzhen Zhang, Zheng-Hai Huang and Liqun Qi
2018doi: 10.3934/jimo.2018075 +[Abstract](164) +[HTML](90) +[PDF](360.64KB)
A semidefinite relaxation algorithm for checking completely positive separable matrices
Anwa Zhou and Jinyan Fan
2018doi: 10.3934/jimo.2018076 +[Abstract](129) +[HTML](151) +[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](125) +[HTML](168) +[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](137) +[HTML](106) +[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](156) +[HTML](115) +[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](162) +[HTML](151) +[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](127) +[HTML](143) +[PDF](376.01KB)
Robust and sparse portfolio model for index tracking
Chao Zhang, Jingjing Wang and Naihua Xiu
2018doi: 10.3934/jimo.2018082 +[Abstract](142) +[HTML](133) +[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](128) +[HTML](50) +[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](97) +[HTML](43) +[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](99) +[HTML](69) +[PDF](581.26KB)
Unified optimality conditions for set-valued optimizations
Geng-Hua Li and Sheng-Jie Li
2018doi: 10.3934/jimo.2018087 +[Abstract](96) +[HTML](58) +[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](74) +[HTML](77) +[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](133) +[HTML](52) +[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](124) +[HTML](52) +[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](99) +[HTML](67) +[PDF](969.83KB)
Linear bilevel multiobjective optimization problem: Penalty approach
Yibing Lv and Zhongping Wan
2018doi: 10.3934/jimo.2018092 +[Abstract](118) +[HTML](46) +[PDF](343.71KB)
A hybrid inconsistent sustainable chemical industry evaluation method
Ying Han, Zhenyu Lu and Sheng Chen
2018doi: 10.3934/jimo.2018093 +[Abstract](61) +[HTML](50) +[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](69) +[HTML](83) +[PDF](431.91KB)
Bi-objective integrated supply chain design with transportation choices: A multi-objective particle swarm optimization
Xia Zhao and Jianping Dou
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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](108) +[HTML](56) +[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
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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](84) +[HTML](104) +[PDF](617.04KB)
Stability in mean for fuzzy differential equation
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2018doi: 10.3934/jimo.2018099 +[Abstract](78) +[HTML](66) +[PDF](164.11KB)
Perturbation analysis of a class of conic programming problems under Jacobian uniqueness conditions
Ziran Yin and Liwei Zhang
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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](97) +[HTML](43) +[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
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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](80) +[HTML](43) +[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](101) +[HTML](145) +[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](103) +[HTML](48) +[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
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An interior point continuous path-following trajectory for linear programming
Liming Sun and Li-Zhi Liao
2018doi: 10.3934/jimo.2018107 +[Abstract](126) +[HTML](73) +[PDF](423.11KB)
CP and MIP approaches for soccer analysis
Robinson Duque, Alejandro Arbelaez and Juan Francisco Díaz
2018doi: 10.3934/jimo.2018109 +[Abstract](167) +[HTML](64) +[PDF](813.39KB)
Fair-fixture: Minimizing carry-over effects in football leagues
Dilek Günneç and Ezgi Demir
2018doi: 10.3934/jimo.2018110 +[Abstract](125) +[HTML](150) +[PDF](293.19KB)
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
2017doi: 10.3934/jimo.2018111 +[Abstract](7) +[HTML](9) +[PDF](700.92KB)
Optimal pricing of perishable products with replenishment policy in the presence of strategic consumers
Guodong Yi, Xiaohong Chen and Chunqiao Tan
2017doi: 10.3934/jimo.2018112 +[Abstract](9) +[HTML](11) +[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
2017doi: 10.3934/jimo.2018113 +[Abstract](14) +[HTML](27) +[PDF](583.3KB)
Online ordering strategy for the discrete newsvendor problem with order value-based free-shipping
Yong Zhang, Huifen Zhong, Yue Liu and Menghu Huang
2017doi: 10.3934/jimo.2018114 +[Abstract](6) +[HTML](11) +[PDF](337.17KB)
Coordinating a multi-echelon supply chain under production disruption and price-sensitive stochastic demand
Bibhas C. Giri and Bhaba R. Sarker
2017doi: 10.3934/jimo.2018115 +[Abstract](8) +[HTML](33) +[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
2017doi: 10.3934/jimo.2018116 +[Abstract](7) +[HTML](27) +[PDF](557.09KB)
Recovering optimal solutions via SOC-SDP relaxation of trust region subproblem with nonintersecting linear constraints
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2017doi: 10.3934/jimo.2018117 +[Abstract](10) +[HTML](38) +[PDF](465.92KB)
A note on network repair crew scheduling and routing for emergency relief distribution problem
Huai-Che Hong and Bertrand M. T. Lin
2017doi: 10.3934/jimo.2018119 +[Abstract](7) +[HTML](12) +[PDF](267.67KB)
A savings analysis of horizontal collaboration among VMI suppliers
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2017doi: 10.3934/jimo.2018120 +[Abstract](13) +[HTML](11) +[PDF](520.17KB)
Coordination of VMI supply chain with a loss-averse manufacturer under quality-dependency and marketing-dependency
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2017doi: 10.3934/jimo.2018121 +[Abstract](17) +[HTML](9) +[PDF](386.06KB)
Memoryless quasi-Newton methods based on spectral-scaling Broyden family for unconstrained optimization
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2017doi: 10.3934/jimo.2018122 +[Abstract](20) +[HTML](30) +[PDF](385.67KB)
Homotopy method for solving generalized Nash equilibrium problem with equality and inequality constraints
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Uncertain portfolio selection with mental accounts and background risk
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An economic order quantity for deteriorating items with allowable rework of deteriorated products
Mahdi Karimi, Seyed Jafar Sadjadi and Alireza Ghasemi Bijaghini
2017doi: 10.3934/jimo.2018126 +[Abstract](27) +[HTML](19) +[PDF](776.15KB)
Sparse probabilistic Boolean network problems: A partial proximal-type operator splitting method
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2017doi: 10.3934/jimo.2018127 +[Abstract](7) +[HTML](17) +[PDF](525.84KB)
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2017doi: 10.3934/jimo.2018128 +[Abstract](11) +[HTML](20) +[PDF](451.49KB)
A mean-reverting currency model with floating interest rates in uncertain environment
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Optimal investment and consumption in the market with jump risk and capital gains tax
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2017doi: 10.3934/jimo.2018130 +[Abstract](12) +[HTML](9) +[PDF](378.25KB)
Scheduling with step-deteriorating jobs to minimize the makespan
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2017doi: 10.3934/jimo.2018131 +[Abstract](7) +[HTML](19) +[PDF](308.39KB)
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2017doi: 10.3934/jimo.2018132 +[Abstract](12) +[HTML](19) +[PDF](507.74KB)
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Integrated supply chain design models: a survey and future research directions
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The control parameterization method for nonlinear optimal control: A survey
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Modelling and optimal control for nonlinear multistage dynamical system of microbial fed-batch culture
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Solving structural engineering design optimization problems using an artificial bee colony algorithm
Harish Garg
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