多点型進化戦略と遺伝的プログラミングによる創発的パラメータ調整ルールの設計

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2015/03/01

タイトル(英語): Multi-points Evolution Strategy and Designing Emergent Parameter Tuning Rule Using Genetic Programming

著者名: 金政　実（慶應義塾大学理工学部），相吉　英太郎（慶應義塾大学理工学部）

著者名(英語): Minoru Kanemasa (Faculty of Science and Technology, Keio University), Eitaro Aiyoshi (Faculty of Science and Technology, Keio University)

キーワード: ヒューリスティックアルゴリズム，遺伝的プログラミング，進化戦略，アルゴリズム調整器　　Heuristic Algorithms，Genetic Programming，Evolution Strategy，Algorithm Tuner

要約(英語): Modern heuristic optimization algorithms developed in '90s have been a particular focus of attention because of their simplicity, easy software implementation, and moreover, the interesting phenomena that their performance emerged from the interactions among the particles.In this paper, we see that we can get emergent performance as an optimization algorithm by increasing the number of particles on Evolution Strategy. Considering that, we try to increase the interactions among the particles in order to get better performance. We define parameter tuning rule designing as an optimization problem, and use Genetic Programming to find those for Evolution Strategy. In addition, we evaluate the generated tuning rules using statistical tests and several benchmarks to verify that the proposed methods and the generated rules are effective ones.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.3 （2015）

本誌掲載ページ: 321-330 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/3/135_321/_article/-char/ja/