### 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 |
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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 |

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

### Other

Other | 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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City | Paris |

Period | 11/10/24 → 11/10/26 |

### Fingerprint

### Keywords

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

### ASJC Scopus subject areas

- Applied Mathematics

### Cite this

*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)

**Hybrid approach for improved particle swarm optimization using Adaptive plan system with genetic algorithm.** / Hieu, Pham Ngoc; Hasegawa, Hiroshi.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*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, International Conference on Evolutionary Computation Theory and Applications, ECTA 2011 and International Conference on Fuzzy Computation Theory and Applications, FCTA 2011, Paris, 11/10/24.

}

TY - GEN

T1 - Hybrid approach for improved particle swarm optimization using Adaptive plan system with genetic algorithm

AU - Hieu, Pham Ngoc

AU - Hasegawa, Hiroshi

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Adaptive system

KW - Genetic algorithms (GAs)

KW - Multi-peak problems

KW - Particle Swarm Optimization (PSO)

UR - http://www.scopus.com/inward/record.url?scp=84862173695&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862173695&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9789898425836

SP - 267

EP - 272

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

ER -