Capturing incomplete information in resource allocation problems through numerical patterns

DOI10.1016/j.ejor.2008.06.002zbMath1157.90512OpenAlexW2087346286MaRDI QIDQ1011259

Arun Marar, Warren B. Powell

Publication date: 8 April 2009

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2008.06.002

zbMATH Keywords

decision support systemscombinatorial optimizationknowledge-based systemslogisticslarge scale optimization

Mathematics Subject Classification ID

Combinatorial optimization (90C27) Resource and cost allocation (including fair division, apportionment, etc.) (91B32)

Related Items (2)

Using low-dimensional patterns in optimizing simulators: An illustration for the military airlift problem ⋮ The locomotive assignment problem: a survey on optimization models

Cites Work

• Unnamed Item
• Parallel search algorithms in global optimization
• Goodness-of-fit statistics for discrete multivariate data
• Inverse Optimization
• State-of-the-Art-Survey—Stochastic Programming: Computation and Applications
• LOQO:an interior point code for quadratic programming

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