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Stochastic optimization using grey wolf optimization with optimal computing budget allocation
15 references·0 citing·36 second hop
Stochastic optimization using grey wolf optimization with optimal computing budget allocation (2021)Stochastic optimization using grey wolf o…Stochastic Simulation Optimization with Optimal Computing Budget Allocation (2024)Stochastic Simulation Optimiz…Review on ranking and selection: A new perspective (2021)Review on ranking and selecti…Optimal decisions on prices, order quantities, and returns policies in a supply chain with two-period selling (2020)Optimal decisions on prices, …Facility location and capacity planning considering policy preference and uncertain demand under the One Belt One Road initiative (2020)Facility location and capacit…Simulation Budget Allocation for Selecting the Top-m Designs With Input Uncertainty (2018)Simulation Budget Allocation …Robust ranking and selection with optimal computing budget allocation (2017)Robust ranking and selection …A New Budget Allocation Framework for the Expected Opportunity Cost (2017)A New Budget Allocation Frame…Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data (2015)Simulation Optimization: A Re…A Simulation Budget Allocation Procedure for Enhancing the Efficiency of Optimal Subset Selection (2015)A Simulation Budget Allocatio…Efficient Simulation Budget Allocation for Selecting an Optimal Subset (2008)Efficient Simulation Budget A…Selecting a Selection Procedure (2007)Selecting a Selection Procedu…New Two-Stage and Sequential Procedures for Selecting the Best Simulated System (2001)New Two-Stage and Sequential …A fully sequential procedure for indifference-zone selection in simulation (2001)A fully sequential procedure …Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization (2000)Simulation Budget Allocation …Ordinal optimization of DEDS (1992)Ordinal optimization of DEDSStochastic Approximation Methods for Constrained and Unconstrained Systems (1978)A Guide to Simulation (1983)Feature Article: Optimization for simulation: Theory vs. Practice (2002)Optimization for Simulation: Theory vs. Practice (2002)A Knowledge-Gradient Policy for Sequential Information Collection (2008)Simulation modeling for analysis (2010)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)The Design and Analysis of Computer Experiments (2003)Monte Carlo sampling-based methods for stochastic optimization (2014)Simulation optimization in the era of Industrial 4.0 and the Industrial Internet (2016)Proceedings of the 2017 Winter Simulation Conference (2017)Discrete Event System Simulation (2024)Mean-Value Analysis of Closed Multichain Queuing Networks (1980)Simulation Modeling and Analysis. (1983)Parallel discrete event simulation (1990)Optimization via simulation: A review (1994)Simulation Optimization: A Review, New Developments, and Applications (2006)Monte Carlo Methods in Financial Engineering (2003)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Ranking and Selection as Stochastic Control (2018)Discrete simulation-based optimization methods for industrial engineering problems: A systematic literature review (2019)Simulation modeling and analysis (1999)Sequential Sampling to Myopically Maximize the Expected Value of Information (2009)Design and Analysis of Experiments for Statistical Selection, Screening and Multiple Comparisons (1996)Simulation optimization in inventory replenishment: a classification (2015)Simple Bayesian Algorithms for Best-Arm Identification (2020)Discrete-Event System Simulation (1984)Simple Procedures for Selecting the Best Simulated System When the Number of Alternatives is Large (2001)Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments (2017)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Deep Controlled Learning for Inventory Control (2025)Simulation optimization: A comprehensive review on theory and applications (2004)The Knowledge-Gradient Policy for Correlated Normal Beliefs (2009)Optimal computing budget allocation for complete ranking with input uncertainty (2019)Ranking and selection for pairwise comparison (2023)
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References

  • 2000Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization746 cited
  • 1992Ordinal optimization of DEDS445 cited
  • 2001A fully sequential procedure for indifference-zone selection in simulation422 cited
  • 2001New Two-Stage and Sequential Procedures for Selecting the Best Simulated System330 cited
  • 2024Stochastic Simulation Optimization with Optimal Computing Budget Allocation288 cited
  • 2008Efficient Simulation Budget Allocation for Selecting an Optimal Subset236 cited
  • 2007Selecting a Selection Procedure235 cited
  • 2015Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data194 cited
  • 2021Review on ranking and selection: A new perspective109 cited
  • 2017A New Budget Allocation Framework for the Expected Opportunity Cost75 cited
  • 2015A Simulation Budget Allocation Procedure for Enhancing the Efficiency of Optimal Subset Selection70 cited
  • 2017Robust ranking and selection with optimal computing budget allocation70 cited
  • 2018Simulation Budget Allocation for Selecting the Top-m Designs With Input Uncertainty51 cited
  • 2020Optimal decisions on prices, order quantities, and returns policies in a supply chain with two-period selling47 cited

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2020
Facility location and capacity planning considering policy preference and uncertain demand under the One Belt One Road initiative
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