Research on Indicator-based Multi-objective Evolutionary Algorithm
Guangming Dai · Jisuanji gongcheng · 2009
Indicator Based Evolutionary Algorithm(IBEA) is an excellent multi-objective optimism algorithm.IBEA has outstanding performance for convergence, but it has poor performance for maintaining diversity on some test problems.This paper studies the fitness assignment strategy of IBEA and improves it for its inferiors.Test and comparison indicate that the improved IBEA maintains the advantage of the original IBEA and shows better performance for maintaining diversity than original IBEA.