Title: Multi-objective differential evolution algorithm based on the non-uniform mutation

Authors: Yuelin Gao; Yingzhen Chen; Qiaoyong Jiang

Addresses: Institute of Information and System Science, Beifang University of Nationalities, Wenchang North Road No. 204, Yinchuan, Ningxia 750021, China. ' Institute of Information and System Science, Beifang University of Nationalities, Wenchang North Road No. 204, Yinchuan, Ningxia 750021, China. ' Institute of Information and System Science, Beifang University of Nationalities, Wenchang North Road No. 204, Yinchuan, Ningxia 750021, China

Abstract: A multi-objective differential evolution algorithm based on the non-uniform MDEM is proposed. MDEM employs the (µ + λ) selection strategy and non-uniform mutation operator to generate new population. The non-uniform mutation operator not only increased the pressure of the choice of MDEM algorithm, but also maintained the population diversity. We compare MDEM with NSGA-II, SPEA2 and DEMO by the numerical experiments on eight benchmark problems to find that MDEM has better computational results and effectiveness.

Keywords: multiobjective optimisation; differential evolution; (micro + lambda) selection strategy; non-uniform mutation.

DOI: 10.1504/IJMIC.2012.046407

International Journal of Modelling, Identification and Control, 2012 Vol.15 No.4, pp.284 - 289

Published online: 29 Nov 2014 *

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