Particle Swarm Optimization with Multi-leader Crossover Operator
For realtime optimization of complex multi-peaks function with high dimensions,the traditional PSO has some serious disadvantages such as slow convergence and weak ability of local search.Inspired by minnow effect in biology,a novel PSO algorithm,known as MLCPSO,is proposed.The new MLCPSO algorithm is based on the team leadership mechanism,and characterized with a multi-leader crossover and two new particle swarm flying strategies.The results from our extensive experiment have indicated that in general,MLCPSO has much better convergence and extensibility than SGA and SPSO.