Multi-objective differential evolution algorithm based on the non-uniform mutation Online publication date: Fri, 06-Apr-2012
by Yuelin Gao; Yingzhen Chen; Qiaoyong Jiang
International Journal of Modelling, Identification and Control (IJMIC), Vol. 15, No. 4, 2012
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.
Online publication date: Fri, 06-Apr-2012
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