### Abstract

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.

Original language | English |
---|---|

Title of host publication | ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications |

Pages | 267-272 |

Number of pages | 6 |

Publication status | Published - 2011 Dec 1 |

Event | International Conference on Evolutionary Computation Theory and Applications, ECTA 2011 and International Conference on Fuzzy Computation Theory and Applications, FCTA 2011 - Paris, France Duration: 2011 Oct 24 → 2011 Oct 26 |

### Publication series

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

### Conference

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

Country | France |

City | Paris |

Period | 11/10/24 → 11/10/26 |

### Keywords

- Adaptive system
- Genetic algorithms (GAs)
- Multi-peak problems
- Particle Swarm Optimization (PSO)

### ASJC Scopus subject areas

- Applied Mathematics

## Fingerprint Dive into the research topics of 'Hybrid approach for improved particle swarm optimization using Adaptive plan system with genetic algorithm'. Together they form a unique fingerprint.

## Cite this

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

*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).