Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach

DOI10.1016/0305-0548(95)00056-9zbMath0847.90060OpenAlexW2067498370MaRDI QIDQ1915970

David W. Coit, Alice E. Smith

Publication date: 1 July 1996

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0305-0548(95)00056-9

zbMATH Keywords

neural networkgenetic algorithmredundancy allocationseries-parallel systemNP-hard combinatorial problem

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reliability, availability, maintenance, inspection in operations research (90B25) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Cites Work

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• Optimal Allocation of Redundant Components for Large Systems
• Reliability Optimization by Generalized Lagrangian-Function and Reduced-Gradient Methods
• Surrogate Constraints Algorithm for Reliability Optimization Problems with Two Constraints
• An efficient algorithm to solve integer-programming problems arising in system-reliability design
• Optimization Techniques for System Reliability with RedundancyߞA Review

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