HYBRID APPROACH FOR IMPROVED PARTICLE SWARM OPTIMIZATION USING ADAPTIVE PLAN SYSTEM WITH GENETIC ALGORITHM

Pham Ngoc Hieu; Hiroshi Hasegawa

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Paper

HYBRID APPROACH FOR IMPROVED PARTICLE SWARM OPTIMIZATION USING ADAPTIVE PLAN SYSTEM WITH GENETIC ALGORITHM

Topics: Evolution Strategies; Genetic Algorithms; Swarm/Collective Intelligence

In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 0IJCCI, 267-272, 2011 , Paris, France

Authors: Pham Ngoc Hieu and Hiroshi Hasegawa

Affiliation: Shibaura Institute of Technology, Japan

Keyword(s): Particle swarm optimization (PSO), Genetic algorithms (GAs), Adaptive system, Multi-peak problems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolution Strategies ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing ; Swarm/Collective Intelligence

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.

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Paper citation in several formats:

Ngoc Hieu, P. and Hasegawa, H. (2011). HYBRID APPROACH FOR IMPROVED PARTICLE SWARM OPTIMIZATION USING ADAPTIVE PLAN SYSTEM WITH GENETIC ALGORITHM. In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA; ISBN 978-989-8425-83-6, SciTePress, pages 267-272. DOI: 10.5220/0003626202670272

@conference{ecta11,
author={Pham {Ngoc Hieu}. and Hiroshi Hasegawa.},
title={HYBRID APPROACH FOR IMPROVED PARTICLE SWARM OPTIMIZATION USING ADAPTIVE PLAN SYSTEM WITH GENETIC ALGORITHM},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA},
year={2011},
pages={267-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003626202670272},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA
TI - HYBRID APPROACH FOR IMPROVED PARTICLE SWARM OPTIMIZATION USING ADAPTIVE PLAN SYSTEM WITH GENETIC ALGORITHM
SN - 978-989-8425-83-6
AU - Ngoc Hieu, P.
AU - Hasegawa, H.
PY - 2011
SP - 267
EP - 272
DO - 10.5220/0003626202670272
PB - SciTePress