Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 50th Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 2W2-6
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Host: The Institute of Systems, Control and Information Engineers

A Flexible Framework of Genetic Algorithms
*Naoki Mori, Yuji Suzuki, Isamu Hosono, keinosuke Matsumoto
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Keywords: Genetic Algorithms framework
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Abstract
Genetic Algorithms (GAs) are the effective optimization method.There have been proposed lots of GAs, and each GA is specified by operators and neighborhood structure. However, it is very difficult to recombine the different GA's operators or intoroduce a new neighborhood structure. To solve this problem, in this study, we propose a flexible GA framework.We also propose the GUI support tool for constract a new GA in propsed framework.
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© 2006 The Institute of Systems, Control and Information Engineers
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