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基于定向变异算子的求解GA欺骗问题研究 被引量:6

Directed mutation operator in the research of solving GA deceptive problem
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摘要 为了提高求解GA欺骗问题的效率,在阐述了GA欺骗问题和研究现状的基础上,借鉴生物进化的相关机理,提出一种定向变异算子,并结合均匀变异和正态变异算子,进行了对比和实验计算。理论分析和数值仿真都表明该算子在处理连续型函数欺骗问题上具有较好的效果。 For improving the efficiency of solving the GA(genetic algorithms)deceptive problem, on the base of elaborating GA deceptive problem and presenting research situation, it absorbs the idea of the relative mechanism of biology evolution, presents a kind of directed mutation operator, and gives comparison and experiment results with uniformity mutation operator and normal mutation operator. Theory analysis and numerical simulation show that the effectiveness of the operator in dealing with deceptive problems of consecutive functions is good.
作者 陈峰 武小悦
出处 《系统工程与电子技术》 EI CSCD 北大核心 2009年第1期204-207,共4页 Systems Engineering and Electronics
关键词 定向变异 欺骗问题 遗传算法 directed mutation deceptive problem genetic algorithm
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  • 1徐宗本,高勇.遗传算法过早收敛现象的特征分析及其预防[J].中国科学(E辑),1996,26(4):364-375. 被引量:99
  • 2王丽薇,洪勇,洪家荣.遗传算法的收敛性研究[J].计算机学报,1996,19(10):794-797. 被引量:31
  • 3[日]玄光男 程润伟 等.遗传算法与工程设计[M].北京:科学出版社,2000..
  • 4陈国良,遗传算法及其应用,1996年
  • 5He J,武汉大学学报,1996年,1卷,3/4期,593页
  • 6He J,Parallel Algorithms Appl,1995年,5卷,1期,37页
  • 7Whitley, L. D. Deception, dominance and implicit parallelism in genetic search. Annals of Mathematics and Artificial Intelligence 1992,(5) :49 - 78.
  • 8T. Kuo, and S. Hwang, A genetic algorithm with dismptive selection, IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics, 1996, 26(2):65 - 69.
  • 9M. Srinivas , and L. M. Patnaik, Adaptive probabilities of crossover and mutation in genetic algorithms, IEEE Transactions on Systems,Man and Cybernetics, 1994,24(4) :656 - 667.
  • 10Geldberg, D.E. Simple genetic algorithm and the minimal deceptive problem. In Genetic Algorithms and Simulated Annealing, Davis, L.(ed.), San Marco, CA: Morgan Kaufman, 1987:74-88.

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