Genetic Algorithm Implementation in Python
ICIS '05: Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science（2005）
摘要
This paper deals with genetic algorithm implementation in Python. Genetic algorithm is a probabilistic search algorithm based on the mechanics of natural selection and natural genetics. In genetic algorithms, a solution is represented by a list or a string. List or string processing in Python is more productive than in C/C++/Java. Genetic algorithms implementation in Python is quick and easy. In this paper, we introduce genetic algorithm implementation methods in Python. And we discuss various tools for speeding up Python programs.
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关键词
productivity,object oriented languages,genetics,genetic algorithms,python,prototypes,functional programming,object oriented programming,genetic algorithm,java,natural selection,search algorithm
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