A Novel Crossover Operator for Particle Swarm Algorithm

摘要

This paper presents a novel particle swarm optimization (PSO) algorithm to enhance the performance of PSO. The proposed approach, called LPSO, employs a Laplace Crossover operator (LC) to generate good candidate solutions. In order to verify the performance of LPSO, we test it on six well-known benchmark functions. The simulation results show that LPSO achieves better results than standard PSO in all test cases.