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多种群变换遗传算法及其在优化调度中的应用(英文) 被引量:3

The Comparison of Multi-reproduction Groups of Genetic Algorithms and Its Application in the Optimization Schedule
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摘要 提出了一种基于多种群思想的遗传算法 ,研究了种群数目对收敛速度的影响及确定原则 ,设计了适合连续离散规划问题求解的交叉与变异算子以及评价函数参数 .通过与一般遗传算法比较、统计计算及对某载重轮胎厂生产调度系统仿真 ,表明该算法的收敛速度有很大提高 。 The comparison approach of genetic algorithms based on the multi_reproduction thinking is introduced, the judgement principle about the number of reproduction groups and its influence on the algorithm convergence speed are compared, and the genetic operator and the parameter of evaluation function that was built to slove the programming problem of hybrid system are designed. Compared with ordinary genetic algorithms, statistical calculation, and the simulation to the Shanghai Heavy Duty Tyre production process, the results of calculation indicate that this approach had a fast speed of convergence, and can optimize the production schedule of hybrid system in which there are continuous and discrete processes and it is broad in scale.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2001年第6期882-886,共5页 Control Theory & Applications
关键词 多种群变换 遗传算子 遗传算法 优化调度 multi_reproductions transform genetic operator genetic algorithm hybrid system schedule
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参考文献2

  • 1Gen M,Evolutionary Optimization,1998年,1卷,1期,36页
  • 2Lee C Y,Computers Operations Research,1995年,22卷,8期,857页

同被引文献27

  • 1钟伟才,刘静,刘芳焦,李成.组合优化多智能体进化算法[J].计算机学报,2004,27(10):1341-1353. 被引量:34
  • 2孙晓燕,巩敦卫.变种群规模合作型协同进化遗传算法及其在优化中的应用[J].控制与决策,2004,19(12):1437-1440. 被引量:7
  • 3黄永青,陆青,梁昌勇,杨善林,郝国生.交互式多智能体进化算法及其应用[J].系统仿真学报,2006,18(7):2030-2032. 被引量:9
  • 4李宏,焦永昌,张莉,王宇平.一种求解全局优化问题的新混合遗传算法[J].控制理论与应用,2007,24(3):343-348. 被引量:19
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  • 7ZENG X P, LI Y M, JIAN Q. A dynamic chain-like agent genetic algorithm for global numerical optimization and feature selection[J]. Neurocomputing, 2009, 72(4/6): 1214- 1228.
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