Amended harmony search algorithm with perturbation strategy for large-scale system reliability problems

Large-scale system reliability problem is a nonconvex integer nonlinear programming problem, traditional mathematical programming methods have computation limits and can not optimize an effective solution in a reasonable time. This paper employed an amended harmony search algorithm(AHS) to solve lar...

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Bibliographic Details
Published inApplied intelligence (Dordrecht, Netherlands) Vol. 48; no. 11; pp. 3863 - 3888
Main Authors Ouyang, Hai-bin, Gao, Li-qun, Li, Steven
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2018
Springer Nature B.V
Subjects
Artificial Intelligence
Computer Science
Machines
Manufacturing
Mathematical programming
Mechanical Engineering
Nonlinear programming
Processes
Search algorithms
Strategy
System reliability
Convergence rate
Robustness
Harmony search algorithm
Large-scale system reliability problems
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Summary:Large-scale system reliability problem is a nonconvex integer nonlinear programming problem, traditional mathematical programming methods have computation limits and can not optimize an effective solution in a reasonable time. This paper employed an amended harmony search algorithm(AHS) to solve large-scale system reliability problems. In AHS, perturbation strategy, key parameter adjustment and global dimension selection strategy are designed to balance the capability of exploitation and exploration. A comprehensive comparison is carried out to assess the search efficiency and convergence performance of AHS. Function test and large-scale system reliability case results show that AHS is superior to many previously reported well-known and excellent algorithms.
ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-018-1175-5