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Conference Paper Genetic Algorithm Implementation in Python
Cited 21 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
Authors
Won Jae Lee, Hak Young Kim
Issue Date
2005-07
Citation
International Conference on Computer and Information Science (ICIS) 2005, pp.8-12
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICIS.2005.69
Project Code
05MH1100, A Development of the Next Generation Internet Server Technology, Kim Myung-Joon
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. © 2005 IEEE.
KSP Keywords
Algorithm implementation, Genetic Algorithm, Implementation method, Natural selection, Search Algorithm(GSA), String Processing