期刊文献+

可持续发展视角下的区域水资源优化配置模型 被引量:13

Optimal allocation models for regional water resources with sustainable development
原文传递
导出
摘要 为了构建可持续发展视角下的区域水资源优化配置模型,针对水资源优化配置表现出的主从递阶决策、多目标决策、多阶段决策等特点,构建了优化配置模型,采用逻辑集成多种算法的求解思路。集成引入了多目标满意度计算、主从递阶博弈方法、基于粒子群算法的演化博弈求解方法、动态规划求解方法,研究建立了具有逻辑关系的算法体系。实例研究表明,模型与方法是可行的。提出的模型与算法为复杂决策问题的模型建立及求解提供了解决途径。 An algorithm integrating the characteristics of principal and subordinate hierarchial decision-making, multi-objective decision-making, and multi-stage decision-making to construct an optimal allocation model for regional water resources with sustainable development. The algorithm synthesizes the multiple-objective satisfaction computation degree, principal and subordinate hierarchial game decision-making, evolutionary game solution technology with the particle swarm algorithm, and dynamic programming. The model is verified by a case study. This research presents an excellent approach for complex decision-making problems.
出处 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2007年第9期1531-1536,共6页 Journal of Tsinghua University(Science and Technology)
基金 国家自然科学基金重点资助项目(70233001)
关键词 水资源优化配置 可持续发展 主从递阶决策 多目标决策 演化博弈 粒子群算法 optimal allocation of water resources sustainable development principal and subordinate hierarchial decision-making multi-stage decision-making evolutionary game theory particle swarm algorithm
  • 相关文献

参考文献9

二级参考文献28

  • 1C A Coello Coello.A Comprehensive survey of evolutionary-based multiobjective optimization,techniques.Knowledge and Information Systems,1999,1(3):269~308
  • 2J D Schaffer.Multiple objective optimization with vector evaluated genetic algorithms.The First Int'l Conf on Genetic Algorithms,Lawrence Erlbaum,1985
  • 3D A V Veldhuizen,G B Lamont.Multiobjective evolutionary algorithm research:A history and analysis.Department of Electrical and Computer Engineering,Graduate School of Engineering,Air Force Institute of Technology,Tech Rep:TR-98-03,1998
  • 4R Eberhart,J Kennedy.A new optimizer using particle swarm theory.In:Proc of the 6th Int'l Symposium on Micro Machine and Human Science.Piscataway,NJ:IEEE Service Center,1995.39~43
  • 5J Kennedy,R Eberhart.Particle swarm optimization.IEEE Int'l Conf on Neural Networks,Perth,Australia,1995
  • 6K E Parsopoulos,M N Vrahatis.Particle swarm optimizer in noisy and continuously changing environments.In:M H Hamza ed.Artificial Intelligence and Soft Computing.Iasted:ACTA Press,2001.289~294
  • 7K E Parsopoulos,M N Vrahatis.Particle swarm optimization method for constrained optimization problems.Euro-Int'l Symp on Computational Intelligence 2002,Slovakia,2002
  • 8R C Eberhart,X Hu.Human tremor analyis using particle swarm optimization.IEEE Congress on evolutionary computation (CEC 1999),Washington,D C,1999
  • 9Y Shiand,R Eberhart.A modified particle swarm optimizer.IEEE Int'l Conf on Evolutionary Computation,Anchorage,Alaska,1998
  • 10H Yoshida,K Kawata,Y Fukuyama,et al.A particle swarm optimization for reactive power and voltage control considering voltage security assessment.IEEE Trans on Power Systems,2000,15(4):1232~1239

共引文献279

同被引文献162

引证文献13

二级引证文献57

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