A MULTIOBJECTIVE GENETIC ALGORITHM FOR SOLVING RELIABILITY OPTIMIZATION PROBLEM OF A COMMUNICATION NETWORK SYSTEM

In this paper, first, we formulate a reliability optimization problem in which unavailability of a communication network system is minimized, and next, we propose a multiobjective Genetic Algorithm (mo-GA) for solving the reliability optimization problem. In order to obtain high efficiency of search...

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Bibliographic Details
Published inAdvanced Reliability Modeling II pp. 166 - 175
Main Authors MUKUDA, MINORU, TSUJIMURA, YASUHIRO
Format Book Chapter
LanguageEnglish
Japanese
Published WORLD SCIENTIFIC 01.07.2006
Subjects
II. Optimization in Reliability Engineering
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ISBN9814478121
9789812773760
9812567585
9789814478120
9812773762
9789812567581
DOI10.1142/9789812773760_0020

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Summary:In this paper, first, we formulate a reliability optimization problem in which unavailability of a communication network system is minimized, and next, we propose a multiobjective Genetic Algorithm (mo-GA) for solving the reliability optimization problem. In order to obtain high efficiency of searching non-dominated solutions, we combine the Improved Saving Pareto solutions Strategy (ISPS) and the adoptive Local Search (LS) with the multiobjective Genetic Algorithm. Through some numerical experiments, we evaluate the reliability optimization problem of a communication network system, and show effectiveness of the multiobjective Genetic Algorithm.
ISBN:9814478121
9789812773760
9812567585
9789814478120
9812773762
9789812567581
DOI:10.1142/9789812773760_0020