An efficient simulation optimization method for the generalized redundancy allocation problem

DOI10.1016/j.ejor.2017.08.049zbMath1374.90272OpenAlexW2752603483MaRDI QIDQ1681168

Po-Yi Kuo, Kuo-Hao Chang

Publication date: 23 November 2017

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2017.08.049

zbMATH Keywords

reliabilityimportance samplingsimulation optimizationgeneralized redundancy allocation problem

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Dynamic programming (90C39) Discrete location and assignment (90B80)

Cites Work

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• A direct search method for unconstrained quantile-based simulation optimization
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• Convergence properties of ordinal comparison in the simulation of discrete event dynamic systems
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• Stochastic Nelder-Mead simplex method -- a new globally convergent direct search method for simulation optimization
• Adaptive partitioned random search to global optimization
• Introduction to Stochastic Search and Optimization
• Nested Partitions Method for Global Optimization
• Simulation optimization: a review of algorithms and applications

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