Multi-indicators Brain Storm Optimization Algorithm for Multi-objective Optimization Problems

Abstract

The brains storming optimization (BSO) is a novel swarm intelligence algorithm, which is inspired from the intelligence of the human brainstorming process. In BSO, the convergent operation and divergent operation are implemented to drive the evolution of individuals towards a global optimal region in the single-objective space. In order to extend BSO to resolve multi-objective optimization problems, this paper presents a multi-objective brainstorming algorithm based on multiple indicators, called MIBSO. In MIBSO, the two indicators are used to measure the dispersion and convergence degrees of the obtained solutions, respectively. Experimental results show the effectiveness and efficiency of the proposed algorithm.