DocumentCode
2130600
Title
Genetic algorithm implementation in Python
Author
Lee, Wonjae ; Kim, Hak-Young
Author_Institution
Electron. & Telecommun. Res. Inst., South Korea
fYear
2005
fDate
2005
Firstpage
8
Lastpage
11
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.
Keywords
authoring languages; genetic algorithms; object-oriented languages; search problems; software tools; C language; C++ language; Java language; Python; genetic algorithm; list processing; natural genetics; natural selection; probabilistic search algorithm; program tool; string processing; Biological cells; Functional programming; Genetic algorithms; Genetic mutations; Java; Libraries; Object oriented programming; Productivity; Programming profession; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science, 2005. Fourth Annual ACIS International Conference on
Print_ISBN
0-7695-2296-3
Type
conf
DOI
10.1109/ICIS.2005.69
Filename
1515367
Link To Document