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A review of simheuristics : extending metaheuristics to deal with stochastic combinatorial optimization problems
Juan, Angel A.; Faulin, Javier; Grasman, Scott E.; … - In: Operations research perspectives 2 (2015), pp. 62-72
the use of metaheuristic algorithms. Metaheuristics benefit from different random-search and parallelization paradigms … that allows for extending metaheuristics through simulation to solve stochastic COPs. "Simheuristics" allow modelers for …-driven framework. These optimization-driven algorithms rely on the fact that efficient metaheuristics already exist for the …
Persistent link: https://www.econbiz.de/10011822486
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A multi-objective approach for PH-graphs with applications to stochastic shortest paths
Buchholz, Peter; Dohndorf, Iryna - In: Mathematical methods of operations research : ZOR 93 (2021) 1, pp. 153-178
Persistent link: https://www.econbiz.de/10012488888
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Non-smooth setting of stochastic decentralized convex optimization problem over time-varying graphs
Lobanov, Aleksandr; Veprikov, Andrew; Konin, Georgiy; … - In: Computational management science 20 (2023) 1, pp. 1-55
Persistent link: https://www.econbiz.de/10014393429
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Modelling, performance evaluation and optimisation of (s,Q) retrial inventory system with partial backlogging demands : a GSPN approach
Bazizi, Lydia; Rahmoune, Fazia; Lekadir, Ouiza; Labadi, … - In: European journal of industrial engineering : EJIE 17 (2023) 4, pp. 529-569
Persistent link: https://www.econbiz.de/10014306658
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Operations Research : Grundlagen und praktische Anwendungen
Wessler, Markus - 2010
Persistent link: https://www.econbiz.de/10008780567
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K-adaptability in two-stage robust binary programming
Hanasusanto, Grani A.; Kuhn, Daniel; Wiesemann, Wolfram - In: Operations research 63 (2015) 4, pp. 877-891
Persistent link: https://www.econbiz.de/10011313190
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Exact numerical algorithms for linear stochastic wave equation and stochastic Klein-Gordon equation
Martin, A. (contributor); Prigarin, Serge M. (contributor);  … - 2003
Persistent link: https://www.econbiz.de/10002531658
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A Numerical Method for Solving Stochastic Optimal Control Problems with Linear Control
Chavanasporn, Walailuck - 2010
We introduce a numerical method to solve stochastic optimal control problems, which are linear in the control. We facilitate the idea of solving two-point boundary value problems with spline functions in order to solve the resulting dynamic programming equation. We then show how to effectively...
Persistent link: https://www.econbiz.de/10013140127
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Applications of operational research and mathematical models in management
Chalikias, Miltiadis (ed.) - 2020
published in the Mathematics Special Issue with the same title. All the published papers are of high quality and were subjected … to rigorous peer review. Mathematics is included in the Science Citation Index (Web of Science), and its current Impact …
Persistent link: https://www.econbiz.de/10012586619
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A numerical method for solving stochastic optimal control problems with linear control
Chavanasporn, Walailuck; Ewald, Christian-Oliver - In: Computational economics 39 (2012) 4, pp. 429-446
Persistent link: https://www.econbiz.de/10009540913