Ordinal optimization for a class of deterministic and stochastic discrete resource allocation problems

DOI10.1109/9.701087zbMath0952.93090OpenAlexW2144908562WikidataQ62674502 ScholiaQ62674502MaRDI QIDQ4506501

Christos G. Panayiotou, Liyi Dai, Christos G. Cassandras

Publication date: 17 October 2000

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/d4df0ad20e021b55963b9749b780a3b727745602

zbMATH Keywords

stochastic optimizationdiscrete-event systemsdiscrete resource allocation

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Control/observation systems involving computers (process control, etc.) (93C83) Stochastic systems in control theory (general) (93E03)

Related Items (7)

Simulation budget allocation for simultaneously selecting the best and worst subsets ⋮ Universal alignment probability revisited ⋮ Multi-objective ordinal optimization for simulation optimization problems ⋮ Comparison of selection rules for ordinal optimization ⋮ Online surrogate problem methodology for stochastic discrete resource allocation problem. ⋮ Generalized surrogate problem methodology for online stochastic discrete optimization ⋮ A new approach to discrete stochastic optimization problems

This page was built for publication: Ordinal optimization for a class of deterministic and stochastic discrete resource allocation problems