Functions optimization based on fast convergence particle swarm optimization

Abstract

Keywords:
• particle swarm optimization algorithm,
• adaptive weight,
• constriction factor,
• particle mean dimension

References

1. [1]

   KENNEDY J,EBERHART R.Particle swarm optimization[C]//Proceedings of the IEEE International Conference on Neural Networks, Piscataway:IEEE,1995:1942.

2. [2]

   邓璐娟,卢华琦,刁海港,等.基于遗传-粒子群混合算法的测试数据自动生成[J].郑州轻工业学院学报,2010,25(3):43.
   

3. [3]

   张华伟,杨凯.基于粒子群优化算法的排课问题研究[J].郑州轻工业学院学报,2010,25(3):49.
   

4. [4]

   张丽丽.PSO算法介绍[J].山西财经大学学报,2007,29(2):214.
   

5. [5]

   谢铮桂,钟少丹,韦玉科.改进的粒子群优化算法及收敛性分析[J].计算机工程与应用,2011,47(1):46.
   

6. [6]

   李宁.粒子群优化算法的理论分析与应用研究[D].武汉:华中科技大学,2006.
   

7. [7]

   曾建潮,崔志.一种保证全局收敛的PSO算法[J].计算机研究与发展,2004,41(8):1333.
   

8. [8]

   EBERHART R C, KENNEDY J.A new optimizer using particle swarm theory[C]//Proceedings of the Sixth International Symposium on Micro Machine and Human Science,Piscataway:IEEE,1995:39.

9. [9]

   KENNEDY J,MENDES R.Neighborhood topologies in fully informed and best-of-neighborhood particle swarms[J].IEEE transactions on systems,man,and cybernetics,Part C,2006,36(4):515.

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