New evolutionary algorithm based on particle swarm optimization and adaptive plan system with genetic algorithm

Pham Ngoc Hieu, Hiroshi Hasegawa

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

To reduce a large amount of calculation cost and to improve the convergence to the optimal solution for multi-peak optimization problems with multidimensions, we purpose a new method of Adaptive plan system with Genetic Algorithm (APGA). This is an approach for improving Particle Swarm Optimization (PSO) using APGA. The new strategy based on PSO operator and APGA (PSO-APGA) to improve the convergence towards the optimal solution. The PSOAPGA is applied to some benchmark functions with 20 dimensions to evaluate its performance.

本文言語English
ページ249-254
ページ数6
出版ステータスPublished - 2011 1 1
イベント10th International Conference on Modeling and Applied Simulation, MAS 2011, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2011 - Rome, Italy
継続期間: 2011 9 122011 9 14

Conference

Conference10th International Conference on Modeling and Applied Simulation, MAS 2011, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2011
国/地域Italy
CityRome
Period11/9/1211/9/14

ASJC Scopus subject areas

  • モデリングとシミュレーション

フィンガープリント

「New evolutionary algorithm based on particle swarm optimization and adaptive plan system with genetic algorithm」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル