Emerging Technologies in Operations Research and Management Sciences

Task Force under Emerging Technology Technical Committee

IEEE Computational Intelligence Society


Jian Xiong, College of Information System and Management, National University of Defense Technology


Vice Chair

José M. Merigó,Manchester Business School at the University of Manchester



Efrén Mezura Montes, University of Veracruz , emezura@uv.mx

Ke TangUniversity of Science and Technology of Chinaketang@ustc.edu.cn

Thomas WeiseUniversity of Science and Technology of Chinatweise@ustc.edu.cn

Jing Liu, Xidian University, neouma@mail.xidian.edu.cn

Sergio Damas, European Centre for Soft Computersergio.damas@softcomputing.es

Xianneng Li, Waseda University,  sennou@asagi.waseda.jp

Kai Qin, RMIT University, kai.qin@rmit.edu.au

Wei-neng Chen, Sun Yat-sen University,  chenwn3@mail.sysu.edu.cn

Chaoli Sun, Taiyuan University of Science and Technology,  clsun1225@163.com

Zhenyu Yang, National University of Defense Technology,  zhyuyang@ieee.org

Xinwang Liu, National University of Defense Technology,  1022xinwang.liu@gmail.com


In the area of operations research and management sciences (ORMS), researcher from both academia and industry are devoted to use new approaches and tools to improve systems’ efficiency, maximize enterprises’ profit, provide better support to decision makers, etc. Numerous mathematical and exact approaches have been reported to solve the problems in ORMS.


Nowadays, the emergence of complex problems in real-world applications in the field of ORMS insistently calls for new efficient approaches and technologies. The intersection between Computational Intelligence and ORMS opens new areas. Recent years have witnessed the remarkable attempts at applying computational intelligence for ORMS problems, including evolutionary-based approaches for risk management, genetic algorithms for project scheduling, agent-based approaches for manufacturing and production management, computational approaches for military operations. These research efforts have led to a great deal of cutting-edge techniques in the corresponding research fields.



In the future, we cannot deny that the real-world problems in ORMS field will become more and more complex thanks to the development of IT technology. Computational Intelligence provides a promising direction for the complex problems in the area of optimization, decision making, risk analysis, quality management, service management, etc.


The primary target of the task Force is to promote the research of computational intelligence in the areas of operations research and management sciences. Further, this task force aims at providing a forum for academic and industrial researchers to explore future directions of research and to publicize the new and emerging technologies of computational intelligence to a wider audience in the society of operations research and management sciences.


The scope of this task force includes, but is not limited to the following topics:

  - Computational Intelligence for ORMS problems

  - Innovative applications of evolutionary algorithms in ORMS fields

  - Hybridization of evolutionary optimization and decision making

  - Computational intelligence for project management, including resource allocation, scheduling, risk control, project portfolio, etc.

Planned Activities:

  - Propose a special session on “ Evolutionary Computation for Planning and Scheduling ” for IEEE WCCI 2014

  - Propose a special session on “Evolutionary Computation for Planning and Scheduling  for IEEE CEC 2015