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Erschienen in:
Cuckoo Search and Firefly Algorithm: Overview and Analysis Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

Solving Reliability Optimization Problems by Cuckoo Search

verfasst von : Ehsan Valian

Erschienen in: Cuckoo Search and Firefly Algorithm

Verlag: Springer International Publishing

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Abstract

A powerful approach to solve engineering optimization problems is the cuckoo search algorithm. It is a developed by Yang and Deb [1, 2]. In this chapter uses CS algorithm, to solve the reliability optimization problem. The reliability optimization problem involves setting reliability objectives for components or subsystems in order to meet the resource consumption constraint, e.g. the total cost. The difficulties facing reliability optimization problem are to maintain feasibility with respect to three nonlinear constraints, namely, cost, weight and volume related constraints. The reliability optimization problems have been studied in the literature for decades, usually using mathematical programming or metaheuristic optimization algorithms. The performance of CS algorithm is tested on five well-known reliability problems and two complex systems. Finally, the results are compared with those given by several well-known methods. Simulation results demonstrate that the optimal solutions obtained by CS, are better than the best solutions obtained by other methods.

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Vorheriges Kapitel Multi-Objective Optimization of a Real-World Manufacturing Process Using Cuckoo Search
Nächstes Kapitel Hybridization of Cuckoo Search and Firefly Algorithms for Selecting the Optimal Solution in Semantic Web Service Composition
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Metadaten
Titel
Solving Reliability Optimization Problems by Cuckoo Search
verfasst von
Ehsan Valian
Copyright-Jahr
2014
Buch
Cuckoo Search and Firefly Algorithm

Print ISBN: 978-3-319-02140-9

Electronic ISBN: 978-3-319-02141-6

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-02141-6_10