### 抜粋

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

元の言語 | English |
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ホスト出版物のタイトル | ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications |

ページ | 267-272 |

ページ数 | 6 |

出版物ステータス | Published - 2011 12 1 |

イベント | International Conference on Evolutionary Computation Theory and Applications, ECTA 2011 and International Conference on Fuzzy Computation Theory and Applications, FCTA 2011 - Paris, France 継続期間: 2011 10 24 → 2011 10 26 |

### 出版物シリーズ

名前 | ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications |
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### Conference

Conference | International Conference on Evolutionary Computation Theory and Applications, ECTA 2011 and International Conference on Fuzzy Computation Theory and Applications, FCTA 2011 |
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国 | France |

市 | Paris |

期間 | 11/10/24 → 11/10/26 |

### ASJC Scopus subject areas

- Applied Mathematics

## フィンガープリント Hybrid approach for improved particle swarm optimization using Adaptive plan system with genetic algorithm' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

## これを引用

Hieu, P. N., & Hasegawa, H. (2011). Hybrid approach for improved particle swarm optimization using Adaptive plan system with genetic algorithm. ：

*ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications*(pp. 267-272). (ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications).