A Parallel Quantum Evolutionary Algorithm for Multi-Objective Optimization

カテゴリ: 部門大会

論文No: GS2-5

グループ名: 【C】平成24年電気学会電子・情報・システム部門大会講演論文集

発行日: 2012/09/05

タイトル(英語): A Parallel Quantum Evolutionary Algorithm for Multi-Objective Optimization

著者名: Xin Wei(早稲田大学)

著者名(英語): Xin Wei(Waseda University)

要約(日本語): This paper proposes a parallel quantum evolutionary algorithm (PQEA) for multi-objective optimization　on discrete problems. Firstly, the PQEA uniformly decomposes the multi-objective optimization problem　into a number of scalar optimization sub-problems. All the sub-problems are classi ed into several groups　according to their similarities. The groups of neighboring sub-problems are parallel evolved by a population　of quantum individuals, in which one quantum individual is used to address the sub-problems of a group. Experimental results have demonstrated that PQEA obviously outperforms the most famous multi-objective optimization algorithms, MOEA/D, NSGA-II and MOGLS.

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