A novel competitive co-evolutionary quantum genetic algorithm for stochastic job shop scheduling problem
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Publication:1046710
DOI10.1016/J.COR.2009.07.002zbMath1177.90199OpenAlexW2019530665WikidataQ115460920 ScholiaQ115460920MaRDI QIDQ1046710
Cuiwen Cao, Jinwei Gu, Manzhan Gu, Xingsheng Gu
Publication date: 22 December 2009
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2009.07.002
Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Stochastic scheduling theory in operations research (90B36)
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Cites Work
- Preemptive stochastic online scheduling on two uniform machines
- A contribution to the stochastic flow shop scheduling problem.
- Theory and practice of uncertain programming
- A generalized permutation approach to job shop scheduling with genetic algorithms
- Stochastic scheduling to minimize expected maximum lateness
- A hybrid method for solving stochastic job shop scheduling problems
- Stochastic Machine Scheduling with Precedence Constraints
- Models and Algorithms for Stochastic Online Scheduling
- Approximation and Online Algorithms
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