期刊文献+

遗传算子概率在约束优化问题上的自适应探讨 被引量:1

Discussion on the Adaption of Genetic Operator Probabilities for Constrained Optimization Problem
下载PDF
导出
摘要 提出两种算子概率自适应方案:基于连续两代间解的收敛状况变化的群体性方案、基于群体代间及当代表现的个性化方案.在带转包受限经济批量问题上,进行了变异概率调整方法的仿真试验,与文献中的其它变异概率调整方案进行了比较.结合试验结果和文献中的相关研究,指出在群体中存在不可行个体情况下,算子概率自适应的调整机理及理论分析仍是一个有待解决的问题. Two adaptive schemes of genetic operator probabilities are proposed,one is based on the change ratio of the convergence situation of the solution in the continuous two generations,the other on population performance in the present generation and continuous two ones. For the economical lot sizing problem with outsourcing,the simulation examination with several adjustment schemes of mutation probability is made,their test results are analyzed. From the test results and relevant research in the literature,we indicate that adaptive mechanism of genetic operator probabilities as well as its theoretical analysis is still open when there are infeasible individuals in the GA population.
出处 《小型微型计算机系统》 CSCD 北大核心 2010年第5期947-949,共3页 Journal of Chinese Computer Systems
基金 国家自然科学基金重点项目(70631003)资助 安徽省自然科学基金项目(090416249)资助 教育部留学归国人员科研启动基金
关键词 遗传算子 概率 遗传算法 约束优化问题 自适应 genetic operator probability genetic algorithm constrained optimization problem adaption
  • 相关文献

参考文献11

  • 1Hinterding R,Michalewicz Z,Eiben A.Adaptation in evolutionary computation:a survey[A].Proceeding of the 4th IEEE International Conference on Evolutionary Computation[C],New York:IEEE Press,1997:65-69.
  • 2Srinvas M,Patnaik L M.Adaptive probabilities of crossover and mutation in genetic algorithms[J].IEEE Transaction on Systems,Man and Cybernetics 1994,24(4):656-667.
  • 3Zheng jun,Zhu Jing.Image matching based on adaptive genetic algorithm[J].Journal of Zhejiang University (Engineering Science),2003,37 (6):689-692.
  • 4Wu Q H,Cao Y J,Wen J Y.Optimal reactive power dispatch using an adaptive genetic algorithm[J].Electrical Power and Energy Systems,1998,20(8):563-569.
  • 5Mak K L,Wong Y S,Wang X X.An adaptive genetic algorithm for manufacturing cell formation[J].Int.J.Adv.Manuf.Technol,2000,16(7):491-497.
  • 6Chiung Moon,Yoonho Seo,Youngsu Yun,Mitsuo Gen.Adaptive genetic algorithm for advanced planning in manufacturing supply chain[J].J.Intell.Manuf,2006,17(4):509-522.
  • 7Nguyen Van Hopa,Mario T.Tabucanon.Adaptive genetic algorithm for lot-sizing problem with self-adjustment operation rate[J].International Journal of Production Economics,2005,98(2):129-135.
  • 8Herrera F,Lozano M.Fuzzy adaptive genetic algorithms:design,taxonomy and future directions[J].Soft Computing,2003,7(8):545-562.
  • 9Grefenstette J J.Optimization of control parameters for genetic algorithms[J].IEEE Transactions on Systems,Man,Cybernetics,1986,16(1):122-128.
  • 10Elmer P.Dadios,Jamshaid Ashraf.Genetic algorithm with adaptive and dynamic penalty functions for the selection of cleaner production measures:a constrained optimization problem[J].Clean Technologies and Environmental Policy,2006,8(2):85-95.

同被引文献13

引证文献1

二级引证文献3

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