JACIII Vol.8 No.4 pp. 437-441
doi: 10.20965/jaciii.2004.p0437


Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms

Minoru Mukuda*, YoungSu Yun**, and Mitsuo Gen***

*Department of Information Engineering, Nippon Institute of Technology, Minami-Saitama 345-8501, Japan

**School of Automotive, Industrial & Mechanical Engineering, Daegu University, Gyeongbuk Gyeongsan 712-714, Korea (Corresponding Author)

***Graduate School of Information, Production & Systems, Waseda University, Kitakyushu 808-0135, Japan

September 25, 2003
March 29, 2004
July 20, 2004
hybrid genetic algorithm, reliability optimization problem, adaptive scheme
This paper proposes an adaptive hybrid genetic algorithm (aHGA) for effectively solving the complex reliability optimization problems. The proposed aHGA uses a local 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.
Cite this article as:
M. Mukuda, Y. Yun, and M. Gen, “Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms,” J. Adv. Comput. Intell. Intell. Inform., Vol.8 No.4, pp. 437-441, 2004.
Data files:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Jul. 23, 2024