Call for Papers
Swarm Intelligence for
Real-World Engineering Optimization
Special Session in World Congress on Computational Intelligence 2014
Aim
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. Many swarm intelligence based algorithms have been proposed in recent years including particle swarm optimization, artificial bee colony optimization, artificial immune systems, glowworm swarm optimization, intelligent water drops, self-propelled particles, stochastic diffusion search, and etc. The above algorithms have been widely used to solve test functions and benchmark problems and have shown great success. This special session aims to promote the application of the swarm intelligence based algorithms and other meta-heuristics to solving real-world engineering optimization problems.
Scope
Topics of interest may cover, but are not limited to
Chemical engineering optimization
Examination timetabling problem
Structural design optimization
Multiple sequence alignment
Truss optimization
Production scheduling
Production planning
Construction site layout optimization
Multi-objective design optimization
Nonlinear parameter estimation
Submissions
Papers should be submitted following the instructions at the IEEE WCCI 2014 web site. Please select the main research topic as the Special Session on "Swarm Intelligence for real-world engineering optimization”. Accepted papers will be included and published in the conference proceedings.
Paper submissions: December 20, 2013
Notification of acceptance: March 15, 2014
Final paper submission: April 15, 2014
Information on the format and templates for papers can be found here:
http://www.ieee-wcci2014.org/Paper%20Submission.htm
Organizers
Dr. J. J. Liang
Associate Professor, Zhengzhou University, Zhengzhou, China
liangjing@zzu.edu.cn
Dr. Quan-Ke Pan
Professor, Northeastern University, Shenyang, China
panquanke@mail.neu.edu.cn
Dr. Yuhui Shi
Professor, Xi’an Jiaotong-Liverpool University, Suzhou, China
Yuhui.Shi@xjtlu.edu.cn
Dr. B. Y. Qu
Associate Professor, Zhongyuan University of Technology, Zhengzhou, China
qby1984@hotmail.com