OMOEA-II swMATH ID: 2993 Software Authors: Zeng, Sanyou; Yao, Shuzhen; Kang, Lishan; Liu, Yong Description: An efficient multi-objective evolutionary algorithm: OMOEA-II An improved orthogonal multi-objective evolutionary algorithm (OMOEA), called OMOEA-II, is proposed in this paper. Two new crossovers used in OMOEA-II are orthogonal crossover and linear crossover. By using these two crossover operators, only small orthogonal array rather than large orthogonal array is needed for exploiting optimal in the global space. Such reduction in orthogonal array can avoid exponential creation of solutions of OMOEA and improve the performance in robusticity without degrading precision and distribution of solutions. Experimental results show that OMOEA-II can solve problems with high dimensions and large number of local Pareto-optimal fronts better than some existing algorithms recently reported in the literatures. Homepage: http://www.springerlink.com/content/b0db8hwfba0w8aw8/fulltext.pdf Keywords: evolutionary algorithms; multi-objective optimization; Pareto optimal set Related Software: SPEA2; HypE; MOEA/D Cited in: 2 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year An efficient multi-objective evolutionary algorithm: OMOEA-II. Zbl 1109.68642Zeng, Sanyou; Yao, Shuzhen; Kang, Lishan; Liu, Yong 2005 all top 5 Cited by 6 Authors 1 Goh, Chi-Keong 1 Kang, Lishan 1 Liu, Yong 1 Tan, Kay Chen 1 Yao, Shuzhen 1 Zeng, Sanyou Cited in 1 Serial 1 Studies in Computational Intelligence Cited in 2 Fields 2 Operations research, mathematical programming (90-XX) 1 Computer science (68-XX) Citations by Year