期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

动态惯性权重粒子群优化算法 被引量：6

Particle Swarm Optimization Algorithm with a Dynamic Inertia Weight
下载PDF
导出
摘要 针对基本粒子群优化(Particle Swarm Optimization,PSO)算法的不足,提出动态惯性权重粒子群优化算法,其惯性系数随算法进化而动态减少。仿真结果验证了该改进算法的有效性:算法的收敛速度比基本PSO算法的收敛速度快;同时,算法得到的最优解比基本PSO算法好。 An improved particle swarm optimization algorithm(IPSO) is proposed to improve the performance of standard PSO.The dynamic inertia weight is introduced in IPSO and its value decreases with iterative generation increasing.The algorithm is validated with a set of 6 benchmark functions and compared with standard PSO.Experiment results indicate that the IPSO improves the optimization performance on the benchmark functions significantly.
作者 虞斌能 连志刚 焦斌
机构地区 上海电机学院电气学院 上海电机学院经济管理学院
出处 《上海电机学院学报》 2008年第3期169-172,176,共5页 Journal of Shanghai Dianji University
关键词 粒子群优化 惯性权重 进化计算 particle swarm optimization（PSO） inertia weight parameter
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献12

  • 1[1]Shi Yuhui,Eberhart R C,Chen Yaobin.Design of Evolutionary Fuzzy Expert System[A].Proceeding of 1997 Artificial Neural Networks in Engineering Conferenc[C].St.Louis,November,1997.
  • 2[2]Fukuyama Y.Fundamental of Particle Swarm Techniques[A].Lee K Y,El-sharkaei M A.Modern Heuristic Optimization Techniques with Applications to Power Systems[C].NJ:IEEE Press IEEE Power Engineering Society,2002:45-51.
  • 3[3]Shi Y,Eberhart R C.A Modified Particle Swarm Optimizer[A].Proceedings of IEEE International Conference on Evolutionary Computation 1998[C].Piscataway,NJ:IEEE Press,1998:69-73.
  • 4[4]Eberhart R C,Shi Y.Particle Swarm Optimization:developments,applications and resources[C]//Proceedings the 2001 Congress on Evolutionary Computation,Piscataway,NJ:IEEE Press,2001:81-86.
  • 5高鹰,谢胜利.免疫粒子群优化算法[J].计算机工程与应用,2004,40(6):4-6. 被引量：160
  • 6[6]He S,W.QH,Wen J Y,et at.A Particle Swarm Optimizer with Passive Congregation[J].BioSystems,2004,78(1-3):135-147.
  • 7[7]Ji Mingjun,Tang Huanwen.Application of Chaos in Simulated Annealing[J].Chaos,Solitona and Fractals,2004,21(4),933-941.
  • 8[8]Kennedy J,Eberhart R.Particle Swarm Optimization[C]//Proceeding of IEEE International Conference on Neural Networks.Perth:IEEE,1995:1942-1948.
  • 9[9]Kennedy J.Stereotyping:improving particle swarm performance with cluster analysis[C]//Proceedings of the 2000 Congress on Evolutionary Computation.Piscataway N J,USA:IEEE,2000:1507-1512.
  • 10[10]Kennedy J.The Particle Swarm:social adaptation of knowledge[C]//Proc.IEEE Internat.Conf.on Evolutionary Computation Indianapolis:IEEE,1997:303-308.

二级参考文献16

  • 1[1]Eberhart R C Kennedy J.A new optimizer using particles swarm theory.Proc Sixth International Symposium on Micro Machine and Human Science,Nagoya,Japan,1995:39-43
  • 2[2]Shi Y H,Eberhart R C.A modified particle swarm optimizer.IEEE International Conference on Evolutionary Computation,Anchorage,Alaska,May 4-9,1998:69-73
  • 3[4]Clerc M,Kennedy J.The particle swarm-explosion,stability,and convergence in a multidimensional complex space.IEEE Transactions on Evolutionary Computation,2002,6(1):58-73
  • 4Wang P,Kwok D P.Optimal Design of PID Control-lers Based on Genetic Algorithms[].Control EngrgPractice.1994
  • 5Ota T,Omatu S.Tuning of the PID Control Gainsby GA[].Procof IEEE Confon Emerging Tech-nology and Factory Automation.1996
  • 6Mitsukura Yasue,Yamamoto Toru,Kaneda Masahiro.Ade-sign of self-tuning PID controllers using a genetic algorithm[].Proceedings of the American Control Conference.1999
  • 7Akhyar S,,Omayu S.Neuromorphic Self-tuning PID Controller [ C]//[].Proc　Of IEEE Internat Conf on Neural Networks.1992
  • 8Matsumura S,,Omatu S,Higasa H.Improvement of Speed Control Performance Using PID Type Neurocontroller in an Electric Vehicle System [ C]//[].Proc　Of IEEE Internat Conf on Neural Networks.1994
  • 9Tzafestas S,,Papanikolopoulos N P.Incremental Fuzzy Expert PID Control[].IEEE Trans IndustElectronics.1990
  • 10Zhao Z Y,Tomizuka M,Isaka S.Fuzzy Gain Scheduling of PID Controllers[].IEEE Transactions on Systems Man and Cybernetics.1993

共引文献177

同被引文献29

引证文献6

二级引证文献21

上海电机学院学报
2008年 第3期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部