Computer Science ›› 2005, Vol. 32 ›› Issue (12): 24-26.

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LIU Fang, LIU Min, WU Cheng (Department of Automation, Tsinghua University, Beijing 100084)   

  • Online:2018-11-17 Published:2018-11-17

Abstract: A genetic evolutionary programming is proposed in the paper, which combines the advantages of genetic algorithm and evolutionary programming. In the evolving process, the exchange rate and mutate rate of genetic algorithm and the mutate rules of evolution

Key words: Genetic algorithm, Evolutionary programming, Capability of evolution, Mixed integer non-linear programruing problems, Entropy

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