A New Approach to Improve Particle Swarm Optimization

作者: Liping Zhang , Huanjun Yu , Shangxu Hu

DOI: 10.1007/3-540-45105-6_12

关键词: InertiaEvolutionary computationBenchmark (computing)Imperialist competitive algorithmMulti-swarm optimizationMathematical optimizationMathematicsParticle swarm optimization

摘要: … Particle swarm optimization (PSO) is a new evolutionary computation technique. Although … distributed in [0,1] was introduced to improve the performance of PSO algorithm in this work. …

参考文章(17)
Yoshikazu Fukuyama, Kenichi Kawata, Yosuke Nakanishi, Hirotaka Yoshida, A PARTICLE SWARM OPTIMIZATION FOR REACTIVE POWER AND VOLTAGE CONTROL CONSIDERING VOLTAGE STABILITY ,(2000)
Yuhui Shi, Russell C. Eberhart, Parameter Selection in Particle Swarm Optimization Evolutionary Programming. pp. 591- 600 ,(1998) , 10.1007/BFB0040810
Russ Eberhart, Pat Simpson, Roy Dobbins, None, Computational intelligence PC tools ,(1996)
R.C. Eberhart, Y. Shi, Comparing inertia weights and constriction factors in particle swarm optimization congress on evolutionary computation. ,vol. 1, pp. 84- 88 ,(2000) , 10.1109/CEC.2000.870279
M. Clerc, The swarm and the queen: towards a deterministic and adaptive particle swarm optimization congress on evolutionary computation. ,vol. 3, pp. 1951- 1957 ,(1999) , 10.1109/CEC.1999.785513
Cláudia O. Ourique, Evaristo C. Biscaia, José Carlos Pinto, The use of particle swarm optimization for dynamical analysis in chemical processes Computers & Chemical Engineering. ,vol. 26, pp. 1783- 1793 ,(2002) , 10.1016/S0098-1354(02)00153-9
Peter J Angeline, Using selection to improve particle swarm optimization ieee international conference on evolutionary computation. pp. 84- 89 ,(1998) , 10.1109/ICEC.1998.699327
Yuhui Shi, R.C. Eberhart, Fuzzy adaptive particle swarm optimization congress on evolutionary computation. ,vol. 1, pp. 101- 106 ,(2001) , 10.1109/CEC.2001.934377
R. Eberhart, J. Kennedy, A new optimizer using particle swarm theory MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science. pp. 0- 0 ,(1995) , 10.1109/MHS.1995.494215
James Kennedy, The particle swarm: social adaptation of knowledge ieee international conference on evolutionary computation. pp. 303- 308 ,(1997) , 10.1109/ICEC.1997.592326