Journal of Industrial and Management Optimization (JIMO)

ISSN 1547-5816(print)
ISSN 1553-166X(online)

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JIMO is covered in Science Citation Index Expanded, CompuMath Citation Index, Current Contents/Engineering, Computing and Technology ISI Alerting Services.

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.

JIMO is published by AIMS and sponsored by Curtin University and Zhejiang University.


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TOP 10 Most Read Articles in JIMO, September 2016


Solving structural engineering design optimization problems using an artificial bee colony algorithm
Volume 10, Number 3,  Pages: 777 - 794,  2013

Harish Garg

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CVaR proxies for minimizing scenario-based Value-at-Risk
Volume 10, Number 4,  Pages: 1109 - 1127,  2014

Helmut Mausser and Oleksandr Romanko

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A hybrid method combining genetic algorithm and Hooke-Jeeves method for constrained global optimization
Volume 10, Number 4,  Pages: 1279 - 1296,  2014

Qiang Long and Changzhi Wu

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Humanitarian logistics planning for natural disaster response with Bayesian information updates
Volume 10, Number 3,  Pages: 665 - 689,  2013

Nan Liu and Yong Ye

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On the multi-server machine interference with modified Bernoulli vacation
Volume 10, Number 4,  Pages: 1191 - 1208,  2014

Tzu-Hsin Liu and Jau-Chuan Ke

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Linear programming technique for solving interval-valued constraint matrix games
Volume 10, Number 4,  Pages: 1059 - 1070,  2014

Jiang-Xia Nan and Deng-Feng Li

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Finite-time optimal consensus control for second-order multi-agent systems
Volume 10, Number 3,  Pages: 929 - 943,  2013

Rui Li and Yingjing Shi

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Relaxed augmented Lagrangian-based proximal point algorithms for convex optimization with linear constraints
Volume 10, Number 3,  Pages: 743 - 759,  2013

Yuan Shen, Wenxing Zhang and Bingsheng He

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Information sharing in a make-to-stock supply chain
Volume 10, Number 4,  Pages: 1169 - 1189,  2014

Juliang Zhang and Jian Chen

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On minimax fractional programming problems involving generalized $(H_p,r)$-invex functions
Volume 10, Number 4,  Pages: 1001 - 1018,  2014

Anurag Jayswal, Ashish Kumar Prasad and Izhar Ahmad

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