遗传算法合集

1、遗传算法合集 作者：佚名转贴自：云嫣小屋-数 海点击数：18020更新时间：2004-4-8文章录入：admin 遗传算法简介 遗传算法是一类模拟生物进化的智能优化算法，它是由J.H.Holland于六十年代提出的。目前，遗传算法已成为进化计算研究的一个重要分支。 与传统优化方法相比，遗传算法的优点是：群体搜索不需要目标函数的导数概率转移准则遗传算法研究热点收敛性证明新型高效的 遗传算子设计遗传算法与局部优化算法的结合遗传算法在各领域的应用研究软计算与计算智能中的遗传算法遗传算法著作1.陈国良等，遗传算法及其应用，国防出版社2.J.H.Holland,Adaptation in Natural

2、 and Artificial Systems, Ann Arbor: Univ. of Michigan Press, 19753.D.E.Goldberg,Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 19894.L.D.Davis, Handbook of Genetic Algorithms, Van Nostrand Reinhold5.Z.Michalewicz, Genetic Algorithms + Data Structures=Ev

3、olution Programs, Spinger Press,1996 6.M.Gen,R.Cheng,Genetic Algorithms & Engineering Design, 19977.Wiely,Genetic Algorithms in Engineering and Computer Science,19958.M.Mitchell,An Introducion to Genetic Algorithms,19969.Davis,Genetic Algorithms and Simulated Annealing,198710.Davidor,Genetic Algorit

4、hms and Robotics,199111.Koza,Genetic Programming,199212.Bauer,Genetic Algorithms and Investiment Strategies,1994遗传算法站点1.The Genetic Algorithms Archive /galist/ 2.Genetic Adaptive Systems LAB (GASLAB) GASLAB is hosted by the Computer Science Department of the University of Nevada

5、-Reno. /sushil/papers/conference/conf.html / 3.http:/www.mat.sbg.ac.at/uhl/GA.html 4./research/gag/ email: publications: (downloading website) /research/gas/pubs.html 5.Illinois Genetic Algorithms Labora

6、tory Prof. David E. Goldberg, Director ./illigal.home.html 6.Michigan State University Genetic Algorithms Research and Applications Group (GARAGE) Bill Punch (,517-353-3541) Erik Goodman (,517-355-6453) /7./pub/EC/GA/遗传算法应用的参考文章1.用遗传算法求解最短路径问题下载2.用遗传算法进行路径规划下载3.最短路问题的简便算法下载4.带多重选择的最短路问题下载5.用原始对偶算法求解过指定顶点的最短路下载6.给定限制期条件下最小风险路径的选取算法下载7.带有e约束的网络