An illustrative case study on application of learning based ordinal optimization approach to complex deterministic problem

DOI10.1016/J.EJOR.2005.01.047zbMath1116.90065OpenAlexW1975909637MaRDI QIDQ858354

Loo Hay Lee, Mike S. Yang

Publication date: 9 January 2007

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.01.047

zbMATH Keywords

ordinal optimizationmanufacturingcomplex deterministic problem

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Production models (90B30)

Cites Work

• Unnamed Item
• Ordinal optimization with subset selection rule
• Ordinal optimization of DEDS
• An ordinal optimization approach to optimal control problems
• Universal alignment probabilities and subset selection for ordinal optimization
• Convergence properties of ordinal comparison in the simulation of discrete event dynamic systems
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• Ordinal optimization approach to rare event probability problems
• Dynamics and convergence rate of ordinal comparison of stochastic discrete-event systems
• On the numerical solutions of stochastic optimization problem
• Explanation of goal softening in ordinal optimization

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