Session: Brain Storm Optimization Algorithms (06/08, 17:00-18:00, Room 6)

A Comprehensive Survey of Brain Storm Optimization Algorithms

A Comprehensive Survey of Brain Storm Optimization Algorithms

Shi Cheng, Yifei Sun, Junfeng Chen, Quande Qin, Xianghua Chu, Xiujuan Lei and Yuhui Shi

Shi Cheng, Yifei Sun, Junfeng Chen, Quande Qin, Xianghua Chu, Xiujuan Lei and Yuhui Shi

Shaanxi Normal University, China Shaanxi Normal University, China Hohai University, China Shenzhen University, China Shenzhen University, China Shaanxi Normal University, China Southern University of Science and Technology, China

Shaanxi Normal University, China Shaanxi Normal University, China Hohai University, China Shenzhen University, China Shenzhen University, China Shaanxi Normal University, China Southern University of Science and Technology, China

The development, implementation, variant, and future directions of a new swarm intelligence algorithm, brain storm optimization (BSO) algorithm, are comprehensively surveyed. Brain storm optimization algorithm is a new and promising swarm intelligence algorithm, which simulates the human brainstorming process. Through the convergent operation and divergent operation, individuals in BSO are grouped and diverged in the search space/objective space. To the best of our knowledge, there are 75 papers, 8 theses, and 5 patents in total on the development and application of the BSO algorithm. Every individual in the BSO algorithm is not only a solution to the problem to be optimized, but also a data point to reveal the landscape of the problem. Based on the developments of brain storm optimization algorithms, different kinds of optimization problems and real- world applications could be solved.