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Ranked document selection [PDF]
Theoretical Computer Science, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Munro, J. Ian +3 more
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Practical Simulation Budget Allocation for Ranked Subset Partitioning
IEEE Access, 2023 Stochastic simulation is a powerful tool for analyzing complex discrete-event dynamic systems; however, it does not exhibit sufficient efficiency because of the requirement of numerous replicated simulations for obtaining accurate analysis results ...
Moon Gi Seok, Seon Han Choi
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Applied Sciences, 2020 The optimization of several practical large-scale engineering systems is computationally expensive. The computationally expensive simulation optimization problems (CESOP) are concerned about the limited budget being effectively allocated to meet a ...
Shih-Cheng Horng, Chin-Tan Lee
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Select sets: Rank and file [PDF]
The Annals of Applied Probability, 2007 Published at http://dx.doi.org/10.1214/105051606000000691 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Krieger, Abba M. +2 more
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IEEE Access, 2020 Although discrete-event simulation has been widely used in various engineering fields, its efficiency remains an issue. Ranking and selection (R&S) procedures can solve this efficiency problem by allocating a limited simulation budget ...
Seon Han Choi, Changbeom Choi
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Managerial Ranking and Project Selection
Acta Economica, 2017 Models of quantification of the risk and return on investment projects are often the subject of observation by the scientific and professional community. In addition to the problem of project selection, managers are increasingly faced with the problem of
Саша Вученовић +2 more
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Materials Selection Using a 2-tuple Linguistic Multi-criteria Method [PDF]
Materials Research, 2020 The materials selection can affect the design component radically, with effect on the manufacturing systems efficiency, environmental impact issues, and customer satisfaction.
Dalmarino Setti +3 more
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Ranking and Selection as Stochastic Control [PDF]
IEEE Transactions on Automatic Control, 2018 Under a Bayesian framework, we formulate the fully sequential sampling and selection decision in statistical ranking and selection as a stochastic control problem, and derive the associated Bellman equation. Using value function approximation, we derive an approximately optimal allocation policy.
Yijie Peng +3 more
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Enhancing the Noise Robustness of the Optimal Computing Budget Allocation Approach
IEEE Access, 2020 Since an optimal computing budget allocation (OCBA) approach maximizes the efficiency of the simulation budget allocation to correctly find the optimal solutions, various OCBA-based procedures, such as OCBA, OCBAm+, and MOCBA+, have been widely applied ...
Seon Han Choi, Tag Gon Kim
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Journal of Natural Fibers, 2021 In the garment industry, selection of the most appropriate fabric for apparel manufacturing plays a vital role in customer satisfaction. Identification of the best fabric from a set of available options in the presence of conflicting selection criteria ...
Fatima Iftikhar +4 more
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