期刊文献+

基于PSO的军械紧急调运决策优化 被引量:1

Optimization of Ordnance Urgent Transportation Decision Based on PSO
下载PDF
导出
摘要 已有军械调运模型的优化算法的实现较为复杂,不能适用于涉及供应点较多的军械调运问题。针对这一不足,采用了PSO算法对军械调运决策进行智能优化,发挥了PSO算法概念简单、容易实现而又功能强大的特点,较好地解决了涉及供应点较多的军械紧急调运决策优化问题。结合一个仿真算例,表明了采用基于PSO的军械调运决策优化算法的有效性。 The existing optimization algorithm of ordnance transportation model is hard to implement and can't solve those ordnance transportation problems with multiple supply spots. In response, particle swarm optimization (PSO) is used to optimize the decision of ordnance transportation in this paper. PSO has such advantages as simple conception, easy implementation and excellent performance, which can well solve the ordnance urgent transportation problem with multiple supply spots. Finally, this opti- mization algorithm is proved to be effective by an example.
出处 《武汉理工大学学报(信息与管理工程版)》 CAS 2007年第2期112-114,118,共4页 Journal of Wuhan University of Technology:Information & Management Engineering
基金 国家自然科学基金资助项目(70271027)
关键词 军械紧急调运 PSO 决策优化 urgent transportation of ordnance particle swarm optimization (PSO) decision optimization
  • 相关文献

参考文献6

  • 1王威,胡涛,杨建军.单个需求点军械紧急调运的多层规划模型[J].系统工程与电子技术,2006,28(2):257-262. 被引量:19
  • 2李爱国,覃征,鲍复民,贺升平.粒子群优化算法[J].计算机工程与应用,2002,38(21):1-3. 被引量:299
  • 3KENNEDY J,EBERHART R.Particle swarm optimiza-tion[DB/OL].[2006-10-17].http://21.179.197.125/pdf/IELDVD/IELDVD019/3505/10434/00488968.pdf.
  • 4EBERHART R,KENNEDY J.A new optimizer using particle swarm theory[DB/OL].[2006-10-17].http://21.179.197.125/pdf/IELDVD/IELDVD016/3570/10679/00494215.pdf.
  • 5谢晓锋,张文俊,杨之廉.微粒群算法综述[J].控制与决策,2003,18(2):129-134. 被引量:421
  • 6SUGANTHAN P N.Particle swarm optimiser with neighbourhood operator[DB/OL].[2006-10-17].http://21.179.197.125/pdf/IELDVD/IELDVD035/6342/16970/00785514.pdf.

二级参考文献38

  • 1魏军,胡涛,罗朝晖.无运力限制条件下的一种器材紧急调运优化模型[J].海军工程大学学报,2004,16(4):61-64. 被引量:6
  • 2[31]Eberhart R, Hu Xiaohui. Human tremor analysis using particle swarm optimization[A]. Proc of the Congress on Evolutionary Computation[C].Washington,1999.1927-1930.
  • 3[32]Yoshida H, Kawata K, Fukuyama Y, et al. A particle swarm optimization for reactive power and voltage control considering voltage security assessment[J]. Trans of the Institute of Electrical Engineers ofJapan,1999,119-B(12):1462-1469.
  • 4[33]Eberhart R, Shi Yuhui. Tracking and optimizing dynamic systems with particle swarms[A]. Proc IEEE Int Conf on Evolutionary Computation[C].Hawaii,2001.94-100.
  • 5[34]Prigogine I. Order through Fluctuation: Self-organization and Social System[M]. London: Addison-Wesley,1976.
  • 6[1]Kennedy J, Eberhart R. Particle swarm optimization[A]. Proc IEEE Int Conf on Neural Networks[C].Perth,1995.1942-1948.
  • 7[2]Eberhart R, Kennedy J. A new optimizer using particle swarm theory[A]. Proc 6th Int Symposium on Micro Machine and Human Science[C].Nagoya,1995.39-43.
  • 8[3]Millonas M M. Swarms Phase Transition and Collective Intelligence[M]. MA: Addison Wesley, 1994.
  • 9[4]Wilson E O. Sociobiology: The New Synthesis[M]. MA: Belknap Press,1975.
  • 10[5]Shi Yuhui, Eberhart R. A modified particle swarm optimizer[A]. Proc IEEE Int Conf on Evolutionary Computation[C].Anchorage,1998.69-73.

共引文献728

同被引文献11

引证文献1

二级引证文献6

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