Computing budget allocation rules for multi-objective simulation models based on different measures of selection quality

DOI10.1016/J.AUTOMATICA.2010.08.004zbMath1205.90159OpenAlexW1978702835MaRDI QIDQ624935

Suyan Teng, Loo Hay Lee, Ek Peng Chew

Publication date: 11 February 2011

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2010.08.004

zbMATH Keywords

multi-objectiveallocation rulesLagrange relaxationcomputing budget allocationmeasure of selection quality

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Management decision making, including multiple objectives (90B50)

Related Items (2)

Simulation budget allocation for simultaneously selecting the best and worst subsets ⋮ Asymptotic optimality of myopic ranking and selection procedures

Cites Work

• Unnamed Item
• Simulation budget allocation for further enhancing the efficiency of ordinal optimization
• A Multiple Attribute Utility Theory Approach to Ranking and Selection
• Selecting a Selection Procedure
• Computing efforts allocation for ordinal optimization and discrete event simulation
• Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures

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