Dynamic adjusting modified particle swarm algorithm
Jianchao Zeng · Journal of systems engineering · 2005
Particle swarm optimizer(PSO) is a new evolutionary computation method,which has been successfully applied to many fields.Through mechanism analysis of the standard particle swarm optimizer,the interval using zero Lebesque measure is used resulting premature conoergence.In terms of that a modified PSO,called dynamic adjusting modified particle swarm optimizer,is presented in the paper.It can dynamically adjust the limit position of each particle that distributes in the cycle formed by the best positions of the population and the particle,and can make the solution jump out of the local minimum point.The optimization computing of some examples is made to show that the new particle swarm optimizer is useful and simple.