A Multi-objective Differential Evolutionary Algorithm Based on Spacial Distance

Authors:
Jinhua Zheng;Jun Wu;Hui Lv
Affiliations:
Institute of Information Engineering, Xiangtan University, Hunan, China 411105;Institute of Information Engineering, Xiangtan University, Hunan, China 411105;Institute of Information Engineering, Xiangtan University, Hunan, China 411105
Venue:
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Year:
2008

Citing 5
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Abstract

Differential Evolution (DE) is a relatively new EA and it has become a major branch of EA. Based on the classical Differential Evolution, we proposed a new Multi-Objective Differential Evolutionary Algorithm in this paper. Compared with NSGA-II and *** -MOEA, the experimental results demonstrate that the new algorithm tends to be more effective in obtaining good convergence and can converge to the true Pareto front with comparable efficiency.