OverviewThe Brain Storm Optimization (BSO) algorithm is a new kind of swarm intelligence, which is based on the collective behaviour of human being, that is, the brainstorming process. It is natural to expect that an optimization algorithm based on human collective behaviour could be a better optimization algorithm than existing swarm intelligence algorithms which are based on collective behaviour of simple insects, because human beings are social animal and are the most intelligent animals in the world. The designed optimization algorithm will naturally have the capability of both convergence and divergence.
The brain storm optimization is a young and promising algorithm in swarm intelligence. In a brain storm optimization algorithm, the solutions are separated into several clusters. The best solutions of each cluster are kept to the next iteration. New individual can be generated based on one or two individuals in clusters.
The brain storm optimization algorithm can be seen as a combination of swarm intelligence and data mining techniques. Every individual in the brain storm optimization algorithm is not a solution to the problem to be optimized, but also a data point to reveal the landscapes of the problem. The swarm intelligence and data mining techniques can be combined to produce benefits above and beyond what either method could achieve alone.
Aim and ScopeThis special session aims at fostering the latest development of brain storm optimization algorithms and its applications, as well as exchanging of related ideas and discussing the future directions. Original contributions that provide novel theories, frameworks, solutions, and applications to challenging problems of Brain Storm Optimization Algorithms are very welcome for this Special Session. We invite researchers to submit their original and unpublished work related to, but not limited to, the following topics:
- Brain storm optimization with data mining techniques
- BSO for Multi-objective optimization
- BSO for Constrained optimization
- BSO for Discrete optimization
- Brain Strom optimization in uncertain environments
- Theoretical aspects of brain storm optimization
- BSO for Real-world applications
SubmissionPlease follow the IEEE WCCI 2014 instruction for authors and submit your paper via the IEEE WCCI 2014 online submission system. Please specify that your paper is for the Special Session on Brain Storm Optimization and Its Applications.
Important DatesPaper Submission Deadline December 20, 2013
Notification of Acceptance: March 15, 2014
Final Paper Submission Deadline: April 15, 2014
Early/Paper Author Registration: April 15, 2014
OrganisersShi Cheng, University of Nottingham Ningbo, China, firstname.lastname@example.org
Zhi-hui Zhan, Sun Yat-sen University, Guangzhou, China, email@example.com
Yuhui Shi, Xi'an Jiaotong-Liverpool University, Suzhou China, firstname.lastname@example.org