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软件学报  2001 

Study on the Performance Analysis of Genetic Algorithms
遗传算法的性能分析研究

Keywords: genetic algorithms,performance analysis,probability density function
遗传算法
,性能分析,概率密度函数

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Abstract:

In this paper, the state of the theory of genetic algorithms is examined, and the No Free Lunch theorem is introduced. The general framework of genetic algorithms is described, in which the performance analysis matrix is built and used to test some typical genetic algorithms. The experimental results indicate that it is a feasible method, which is easy and adaptable to the evaluation of the performance of genetic algorithms.

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