Numerical integral method research based on Cloud Adaptive Particle Swarm Optimization algorithm
Xiuxi Wei · Computer Engineering and Applications Journal · 2012
In order to improve robustness of the traditional adaptive particle swarm optimization algorithm,a novel adaptive algorithm which is called Cloud Adaptive Particle Swarm Optimization algorithm(CAPSO)is proposed.In the CAPSO,the inertia weight is adaptively varied depending on X-conditional cloud generator.CAPSO can improve its convergence capacity because of the stable tendency of cloud model.Meanwhile,it can remarkably avoid a local minimum using the randomness of cloud model to maintain diversity in the population.The performance of the CAPSO which is used for solving numerical integral of any function shows that the presented numerical integral algorithm has value in engineering practice.