A New Hybrid Genetic Algorithm and Particle Swarm Optimization

Abstract

In this paper, we present a new hybrid algorithm which is a combination of a hybrid genetic algorithm and particle swarm optimization. We focus in this research on a hybrid method combining two heuristic optimization techniques, genetic algorithms ( GA ) and particle swarm optimization ( PSO ) for the global optimization. Denoted as GA-PSO , this hybrid technique incorporates concepts from GA and PSO and creates individuals in a new generation not only by crossover and mutation operations as found in GA but also by mechanisms of PSO . The performance of the two algorithms has been evaluated using several experiments.