A Genetic Algorithm Based Hybrid Approach for Reliability-Redundancy Optimization Problem of a Series System with Multiple-Choice

The goal of this paper is to introduce an application of hybrid algorithm in reliability optimization problems for a series system with parallel redundancy and multiple choice constraints to maximize the system reliability subject to system budget and also to minimize the system cost subject to mini...

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Published inInternational journal of mathematical, engineering and management sciences Vol. 2; no. 3; pp. 185 - 212
Main Authors Bhunia, Asoke Kumar, Duary, Avijit, Sahoo, Laxminarayan
Format Journal Article
LanguageEnglish
Published Dehradun International Journal of Mathematical, Engineering and Management Sciences 01.09.2017
Ram Arti Publishers
Subjects
Constrained integer nonlinear optimization
Genetic algorithm
Genetic algorithms
Multiple choice
Multiple-choice constraints
Reliability-redundancy optimization
Self-organizing migrating algorithm
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Abstract The goal of this paper is to introduce an application of hybrid algorithm in reliability optimization problems for a series system with parallel redundancy and multiple choice constraints to maximize the system reliability subject to system budget and also to minimize the system cost subject to minimum level of system reliability. Both the problems are solved by using penalty function technique for dealing with the constraints and hybrid algorithm. In this algorithm, the well-known real coded Genetic Algorithm is combined with Self-Organizing Migrating Algorithm. As special cases, both the problems are formulated and solved considering single component without redundancy. Finally, the proposed approach is illustrated by some numerical examples and the computational results are discussed.
AbstractList The goal of this paper is to introduce an application of hybrid algorithm in reliability optimization problems for a series system with parallel redundancy and multiple choice constraints to maximize the system reliability subject to system budget and also to minimize the system cost subject to minimum level of system reliability. Both the problems are solved by using penalty function technique for dealing with the constraints and hybrid algorithm. In this algorithm, the well-known real coded Genetic Algorithm is combined with Self-Organizing Migrating Algorithm. As special cases, both the problems are formulated and solved considering single component without redundancy. Finally, the proposed approach is illustrated by some numerical examples and the computational results are discussed.
Author Duary, Avijit
Bhunia, Asoke Kumar
Sahoo, Laxminarayan
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SubjectTerms Constrained integer nonlinear optimization
Genetic algorithm
Genetic algorithms
Multiple choice
Multiple-choice constraints
Reliability-redundancy optimization
Self-organizing migrating algorithm
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Title A Genetic Algorithm Based Hybrid Approach for Reliability-Redundancy Optimization Problem of a Series System with Multiple-Choice
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