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학술대회 Genetic Algorithm Implementation in Python
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저자
이원재, 김학영
발행일
200507
출처
International Conference on Computer and Information Science (ICIS) 2005, pp.8-12
DOI
https://dx.doi.org/10.1109/ICIS.2005.69
협약과제
05MH1100, 차세대 인터넷 서버기술개발, 김명준
초록
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 제안 키워드
Algorithm implementation, Genetic Algorithm, Implementation method, Natural selection, Search Algorithm(GSA), String Processing