Genetic Algorithm Implementation in Python

Authors:
Wonjae Lee;Hak-Young Kim
Affiliations:
Electronics and Telecommunications Research Institute;Electronics and Telecommunications Research Institute
Venue:
Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science
Year:
2005

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Abstract

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.