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SPGAO: A simulation platform for genetic algorithm based on OOP

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成果类型:
期刊论文、会议论文
作者:
Wentao Liu
通讯作者:
Liu, W.(uddisoap@gmail.com)
作者机构:
[Wentao Liu] School of Mathematic and Computer Science, Wuhan Polytechnic University, Wuhan Hubei Province 430023, China
语种:
英文
关键词:
genetic algorithm;simulation platform;function optimization
期刊:
IET Conference Publications
年:
2012
卷:
2012
期:
598 CP
页码:
1910-1913
会议名称:
International Conference on Automatic Control and Artificial Intelligence (ACAI 2012)
会议论文集名称:
International Conference on Automatic Control and Artificial Intelligence (ACAI 2012)
会议时间:
3-5 March 2012
会议地点:
Xiamen
出版者:
IET
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
The genetic algorithm is one of the most important intelligent method in the evolutionary algorithm and it has been applied in science and engineering field widely. In order to use the genetic algorithm easily and flexibly, this paper provides a simulation platform for the genetic algorithm by using the OOP language and the platform is called SPGAO. The architecture of SPGAO is presented and each module is implemented in detail. The data structure and functions for manipulating the genetic algorithm are defined in this platform and the chromosome data type, crossover, mutation, selection opera...

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