A differential evolution variant of NSGA II for real world multiobjective optimization

Authors:
Chung Kwan;Fan Yang;Che Chang
Affiliations:
Electrical and Computer Engineering, National University of Singapore;Electrical and Computer Engineering, National University of Singapore;Electrical and Computer Engineering, National University of Singapore
Venue:
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
Year:
2007

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Abstract

This paper proposes the replacement of mutation and crossover operators of the NSGA II with a variant of differential evolution (DE). The resulting algorithm, termed NSGAII-DE, is tested on three test problems, and shown to be comparable to NSGA II. The algorithm is subsequently applied to two real world problems: (i.) a mass rapid transit scheduling problem and (ii.) the optimization of inspection frequencies for power substations. For both the real world problems, NSGAII-DE is found to have generated better results based on comparative studies.