Adaptive Control of Dominance Area of Solutions in Evolutionary Many-Objective Optimization

Kouhei Tomita (), Minami Miyakawa () and Hiroyuki Sato ()
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Kouhei Tomita: Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan
Minami Miyakawa: Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan
Hiroyuki Sato: Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan

New Mathematics and Natural Computation (NMNC), 2015, vol. 11, issue 02, 135-150

Abstract: Controlling the dominance area of solutions (CDAS) relaxes the concept of Pareto dominance with an user-defined parameterS. CDAS withS

Keywords: Evolutionary many-objective optimization; adaptive control of dominance area of solutions; many-objective real parameter optimization (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1142/S1793005715400025

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