A class of multi-objective expected value decision-making model with birandom coefficients and its application to flow shop scheduling problem
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Publication:730912
DOI10.1016/j.ins.2009.04.009zbMath1170.90428OpenAlexW2095295340MaRDI QIDQ730912
Publication date: 1 October 2009
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2009.04.009
flow shop scheduling problembirandom simulation-based genetic algorithmbirandom variablemulti-objective expected value decision-making model
Management decision making, including multiple objectives (90B50) Deterministic scheduling theory in operations research (90B35)
Related Items (7)
Hybrid flow shop scheduling with sequence dependent family setup time and uncertain due dates ⋮ Parallel-machine scheduling to minimize makespan with fuzzy processing times and learning effects ⋮ Solving non-permutation flow-shop scheduling problem via a novel deep reinforcement learning approach ⋮ A class of multi-objective equilibrium chance maximization model with twofold random phenomenon and its application to hydropower station operation ⋮ A nonlinear multiobjective bilevel model for minimum cost network flow problem in a large-scale construction project ⋮ A discrete time optimal control model with uncertainty for dynamic machine allocation problem and its application to manufacturing and construction industries ⋮ Bi-level multiple mode resource-constrained project scheduling problems under hybrid uncertainty
Uses Software
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