MAS 2011 Proceeding

New Evolutionary Algorithm Based on Particle Swarm Optimization and Adaptive Plan System With Genetic Algorithm

Authors:   Pham Ngoc Hieu, Hiroshi Hasegawa


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 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 PSO- APGA is applied to some benchmark functions with 20 dimensions to evaluate its performance.

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