Hybrid Evolutionary Algorithm Based on PSO and GA Mutation
Ahmed Ali Abdalla Esmin, Germano Lambert‐Torres, G.B. Alvarenga · 2006
This paper presents a hybrid evolutionary algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs). The main idea is to integrate PSO with GA mutation method. Simulations for a series of benchmark test functions show that the hybrid proposed method possess better ability to find the global optimum than the standard PSO algorithm.