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遗传算法研究热点

时间:2010-08-02 02:07来源:2018年最新注册送彩金www.zhixing123.cn 编辑:麦田守望者

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 and Artificial Systems, Ann Arbor: Univ. of

Michigan Press, 1975

3.D.E.Goldberg,Genetic Algorithms in Search, Optimization and Machine Learning.

Reading, MA: Addison-Wesley, 1989

4.L.D.Davis, Handbook of Genetic Algorithms, Van Nostrand Reinhold
5.Z.Michalewicz, Genetic Algorithms + Data Structures=Evolution Programs, Spinger

Press,1996

6.M.Gen,R.Cheng,Genetic Algorithms & Engineering Design, 1997
7.Wiely,Genetic Algorithms in Engineering and Computer Science,1995
8.M.Mitchell,An Introducion to Genetic Algorithms,1996
9.Davis,Genetic Algorithms and Simulated Annealing,1987
10.Davidor,Genetic Algorithms and Robotics,1991
11.Koza,Genetic Programming,1992
12.Bauer,Genetic Algorithms and Investiment Strategies,1994

遗传算法站点

1.The Genetic Algorithms Archive

http://www.aic.nrl.mil/galist/

2.Genetic Adaptive Systems LAB (GASLAB)

GASLAB is hosted by the Computer Science Department of the University of Nevada-Reno.

http://www.cs.unr.edu/~sushil/papers/conference/conf.html

http://gaslab.cs.unr.edu/

3.http://www.mat.sbg.ac.at/~uhl/GA.html
4.http://www.cs.gmu.edu/research/gag/

email:[email protected]

publications: (downloading website)

http://www.cs.gmu.edu/research/gas/pubs.html

 

5.Illinois Genetic Algorithms Laboratory Prof. David E. Goldberg, Director http://gal4.ge.uiuc.edu./illigal.home.html
6.Michigan State University

Genetic Algorithms Research and Applications Group (GARAGE)

Bill Punch ([email protected],517-353-3541)

Erik Goodman ([email protected],517-355-6453)

http://garage.cs.msu.edu/

7.ftp://ftp.egr.msu.edu/pub/EC/GA/
 

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