Journal of Industrial and Management Optimization (JIMO)

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

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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.


TOP 10 Most Read Articles in JIMO, November 2017


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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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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Theory and applications of optimal control problems with multiple time-delays
Volume 10, Number 2,  Pages: 413 - 441,  2013

Laurenz Göllmann and Helmut Maurer

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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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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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Dynamic optimization models in finance: Some extensions to the framework, models, and computation
Volume 10, Number 4,  Pages: 1129 - 1146,  2014

Bruce D. Craven and Sardar M. N. Islam

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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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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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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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The control parameterization method for nonlinear optimal control: A survey
Volume 10, Number 1,  Pages: 275 - 309,  2013

Qun Lin, Ryan Loxton and Kok Lay Teo

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