Hybrid evolutionary algorithms based on PSO and GA
Xiaohu Shi, Yao Lu, Changbao Zhou, Hyobi Lee, Wu-guang Lin, Y.C. Liang · 2004
Inspired by the idea of genetic algorithm, we propose two hybrid evolutionary algorithms based on PSO and GA methods through crossing over the PSO and GA algorithms. The main ideas of the two proposed methods are to integrate PSO and GA methods in parallel and series forms respectively. Simulations for a series of benchmark test functions show that both of the two proposed methods possess better ability to find the global optimum than that of the standard PSO algorithm.