期刊文献+

多目标动态加权差分算法及在电力经济调度模型上的应用 被引量:1

Multi-objective Dynamic Weighted Aggregation Difference Evaluation and Its Application in Power Economic Dispatch
下载PDF
导出
摘要 考虑多目标动态加权进化策略不能有效处理高维变量多目标函数的缺点,本文利用差分算法代替进化策略,提出一种多目标动态加权差分算法.最后,通过优化典型多目标优化问题以及电力经济调度模型优化,验证了所提算法的有效性. Considering the disadvantage of multi- objective dynamic weighted aggregation evolution strategies which don't effectively solve high dimension variables' multi- objective functions, using difference evaluation to replace evolution strategies ,a multi-objective dynamic weighted aggregation difference evaluation is proposed in this paper. Finally,the efficiency of the proposed method is validated by optimizing on benchmark multi-objective functions optimization and power economic dispatch.
作者 乔占周
出处 《聊城大学学报(自然科学版)》 2006年第3期30-33,共4页 Journal of Liaocheng University:Natural Science Edition
关键词 多目标优化 差分算法 动态加权 电力经济调度 multi-objective optimization,difference evaluation,dynamic weighted aggregation,power economic dispatch
  • 相关文献

参考文献9

  • 1[1]COELLO C.A comprehensive survey of evolutionary-based multi-objective optimization techniques[J].Knowledge and Information Systems Journal,1999,1(3):269~308.
  • 2[2]FONSECA C M,FLEMING P J.Multi-objective optimization[J].Evolutionary Computation,2000,5(2):25~37.
  • 3[3]FLEMING P J.Computer aided control systems using a multi-objective optimization approach[J].Proceedings of the IEE Control'85 Conference,1985:174~179.
  • 4[4]JIN Y,OLHOFER M,SENDHOFF B.Dynamic weighted aggregation for evolutionary multi-objective optimization:why does it work and how[C]? Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2001),2001:1 042~1 049.
  • 5[5]VESTERSTROEM J,THOMSEN R.A comparative study of differential evolution,particle swarm optimization,and evolutionary algorithms on numerical benchmark problems[C].Proceedings of the 2004 IEEE Congress on Evolutionary Computation,2004:1980~1987.
  • 6[6]JOSHI R,SANDERSON A C.Minimal representation multi-sensor fusion using differential evolution[J].IEEE Trans.on Systems,Man.and Cybernetics,1999,29(1):63~76.
  • 7[7]JOSHUA D K,DAVID W C.Approximating the non-dominated front using the pareto archived evolution strategy[J].Evolutionary Computation,2000,8(2):149~172.
  • 8[8]DAS D B,PATVARDHAN C.New multi-objective stochastic search technique for economic load dispatch[J].IEE Proceedings on Transmission and Distribution,1998,145 (6):747~752.
  • 9[9]AH KING R T F,RUGHOOPUTH H C S.Elitist multi-objective evolutionary algorithm for environmental/economic dispatch[C].Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003),2003,2:1 108~1 114.

同被引文献11

引证文献1

二级引证文献1

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