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智能优化的微粒群算法研究 被引量：1

Research on particle swarm algorithm of intelligent optimization
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摘要 微粒群算法是移动计算主体与群体的选择中,符合智能计算,以群体为操作单元的一种演化方法。它起源于对简单社会系统的模拟,由单一个体组成的群体与环境以及个体之间的互动行为,从而产生可预测的群体行为,这种方法优化了个体的行为策略。研究了微粒群优化算法,指出了该算法的研究进展,以此启发更深入的理论和应用研究。 The particle swarm optimization is an evolvement that accords with the intelligent computing and is based on colony as the operating unit in the mobile computing main body and colony selecting. It came of the imitation of simple society system. It can forecast the colony behavior from the environment, the mutual behavior among individuals and the colony that consists of individuals. This method optimizes the individual＇ s behavior strategy. The paper discusses and studies the particle swarm, points out its development. It can elicit further theoretical and practical studies in more territories.
作者 原萍 王浩 白羽
机构地区 东北大学信息科学与工程学院
出处 《信息技术》 2007年第7期25-28,共4页 Information Technology
基金 辽宁省自然科学基金(20052027)
关键词 智能计算 进化计算 微粒群 intelligent computing evolutionary computation PS
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16

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二级参考文献87

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共引文献499

同被引文献6

  • 1康琦,张燕,汪镭,吴启迪.智能微粒群算法[J].冶金自动化,2005,29(4):5-9. 被引量：14
  • 2梅慧,叶春明.微粒群算法的置换Flow-Shop调度问题[J].工业工程与管理,2006,11(4):94-96. 被引量：5
  • 3Hongwei Ge,Wenli Du, Feng Qian.A Hybrid Algorithm Based on Particle Swarm Optimization and Simulated Annealing for Job Shop Scheduling [C]. Third International Conference on Natural Computation,ICNC 2007.
  • 4Brian Ivers,Gary G. Yen. Job Shop Optimization Through Multiple Independent Particle Swarms[C].Congress on Evolutionary Computation,CEC2007.
  • 5Zhixiong Liu. Investigation of Particle Swarm Optimization for Job Shop Scheduling Problem[C].Third International Conference on Natural Computation,ICNC 2007.
  • 6Kun Fan, Renqian Zhang, Guoping Xia, An Improved Particle Swarm Optimization Algorithm and Its Application to a Class of JSP Problem[C]. Proceedings of 2007 IEEE International Conference on Grey Systems and Intelligent Services,November 18-20,2007.

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信息技术
2007年 第7期

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