Improved Adaptive Particle Swarm Optimizer in Dynamic Environment

The purpose of this paper is to present a modified Particle Swarm Optimization(PSO) algorithm applied to the complex dynamic environment.The method presented is defined as Improved Adaptive Particle Swarm Optimizer(IAPSO).A number of experiments are performed to test the performance of the IAPSO.The environment used in the experiments is generated by Dynamic Function #1(DF1).The results of the experiments indicate that IAPSO is more adaptive than Adaptive Particle Swarm Optimizer(APSO).