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International Journal of Advancements in Mechanical and Aeronautical Engineering

Adaptive Control of Hybrid PSO-APGA using Neural Network for Constrained Real-Parameter Optimization

Author(s) : HIEU PHAM, HIROSHI HASEGAWA, TAM BUI

Abstract

This paper describes an evolutionary strategy called PSOGA-NN, which uses Neural Network (NN) for self-adaptive control of hybrid Particle Swarm Optimization and Adaptive Plan system with Genetic Algorithm (PSO-APGA) to solve large scale problems and constrained real-parameter optimization. This approach combines the search ability of all optimization techniques (PSO, GA) for stability of convergence to the optimal solution and incorporates concept from neural network for self-adaptive of control parameters. It is shown to be statistically significantly superior to other Evolutionary Algorithms (EAs) on numerical benchmark problems and constrained real-parameter optimization.

No fo Author(s) : 3
Page(s) : 146 - 151
Electronic ISSN : 2372-4153
Volume 2 : Issue 1
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