Dynamical Control of Genetic Algorithm's Parameters by using Intermittency Chaos
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- Qi Tian
- Kanto Gakuin University
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- Kawana Manabu
- Kanto Gakuin University
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- Hiramatsu Tomoyasu
- Kanto Gakuin University
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- Miyazaki Michio
- Kanto Gakuin University
Bibliographic Information
- Other Title
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- 間欠性カオス写像を用いた遺伝的アルゴリズムのパラメータ動的制御
- カンケツセイ カオス シャゾウ オ モチイタ イデンテキ アルゴリズム ノ パ
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Abstract
The Genetic Algorithms (GA) which is often used as an optimization algorithms is based on simulation of nature genetic inheritance and Darwinian striving for survival. And it is well known because of its good performance for the optimization problems. However, when the GA is used as an optimization method, it has some problems. The most difficult one is that users must determine the GA's parameters which are used for genetic processing and often affect the results sensitively. So users need a great skill of GA. For the determination problem of GA's parameters, many methods have been proposed. But such methods seem to have a high interdependence with experience. In this paper, we propose a new method for dynamical control of the GA's parameters by using the intermittency chaos. This method was applied to the De Jong's 5 functions and the knapsack problem as GA's task problems. As the result, good performances of it were obtained. Algorithms of this method are also easy to be understood. So we can expect this method as a general method for the determination problems of the GA's parameters.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 117 (9), 1238-1244, 1997
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001204606953728
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- NII Article ID
- 130006842953
- 10004438124
- 10002811394
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 4284305
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed