Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2003.09a
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- Pages.179-182
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- 2003
Reliability Optimization Problems using Adaptive Hybrid Genetic Algorithms
- Minoru Mukuda (Department of Information Engineering, Nippon Institute of Technology) ;
- Yun, Young-Su (School of automotive, Industrial ＆ Mechanical Engineering, Daegu University) ;
- Mitsuo Gen (Graduate School of Information, Production ＆ Systems Waseda University)
- Published : 2003.09.01
Abstract
This paper proposes an adaptive hybrid genetic algorithm (aHGA) for effectively solving the complex reliability optimization problems. The proposed aHGA uses a loca1 search technique and an adaptive scheme for respectively constructing hybrid algorithm and adaptive ability. For more various comparisons with the proposed adaptive algorithm, other aHGAs with conventional adaptive schemes are considered. These aHGAs are tested and analyzed using two complex reliability optimization problems. Numerical result shows that the proposed aHGA outperforms the other competing aHGAs.
Keywords