期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：2
页码：433-436
出版社：Shri Pannalal Research Institute of Technolgy
摘要：This paper transplants a new variant of PSO i.e. SOPSO( self organizing PSO) for improving the performance of PSO. SOPSO emphasizes the information interactions between the particle-lever and the swarm-lever, and introduce feedback to simulate the function. Through the feedback information, the particles can perceive the swarm- lever state and adopt favorable behavior model to modify their behavior, which not only can modify the exploitation and the exploration of the algorith m adaptively, but also can vary the diversity of the swarm and contribute to a global optimum output in the swarm. This paper presents a brief introduction to the new variant of PSO i.e. Self Organizing PSO (SOPSO) which alleviates the premature convergence. The paper aims at providing the difference between SOPSO and original PSO, giving the merits of SOPSO as compared to PSO. An algorith m and mechanism for the working of SOPSO has been presented here. The particles in SOPSO can adjust its moving mod e according to the swarm states. The dynamics of the particles search moving in iterations is also analyzed.
