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A hybrid method for the modelling and optimisation of constrained search problems
Sitek, Pawel; Wikarek, Jaroslaw - In: Foundations of Management : the journal of Warsaw … 5 (2013) 3, pp. 7-22
proposed approach is particularly important for the decision models with an objective function and many discrete decision …
Persistent link: https://www.econbiz.de/10011855203
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Construction site layout planning using a simulation-based decision support tool
RazaviAlavi, SeyedReza; AbouRizk, Simaan - In: Logistics 5 (2021) 4, pp. 1-25
factors and decision variables. Methods: To improve site layout planning, this study aims to develop a simulation … project as it can significantly impact on-site transportation, construction logistics, and safety. This decision could be …-based decision support tool (DST) that enables planners to consider the following: (1) construction uncertainties, (2) construction …
Persistent link: https://www.econbiz.de/10012661267
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Learning to schedule heuristics for the simultaneous stochastic optimization of mining complexes
Yaakoubi, Yassine; Dimitrakopoulos, Roussos - 2022
Persistent link: https://www.econbiz.de/10012939456
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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
that allows for extending metaheuristics through simulation to solve stochastic COPs. "Simheuristics" allow modelers for … dealing with real-life uncertainty in a natural way by integrating simulation (in any of its variants) into a metaheuristic …
Persistent link: https://www.econbiz.de/10011822486
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A model enhancement heuristic for building robust aircraft maintenance personnel rosters with stochastic constraints
De Bruecker, Philippe; Van de Bergh, Jorne; Beliën, Jeroen - 2014
Persistent link: https://www.econbiz.de/10010357808
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The stochastics of threshold accepting : analysis of an application to the uniform design problem
Winker, Peter (contributor) - 2005
provide a formal framework for the analysis of optimization heuristics like TA, which can be used to estimate lower bounds and …
Persistent link: https://www.econbiz.de/10002742389
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A Survey on Metaheuristics for Solving Stochastic Multi-Objective Optimization Problems
Gannouni, Asmae; Ellaia, Rachid - 2022
Metaheuristics have shown promising performance in solving various deterministic optimization problems, but their performance may deteriorate drastically when tackling problems containing stochastic multiple objectives that should be optimized simultaneously. In recent years, a large amount of...
Persistent link: https://www.econbiz.de/10013298845
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Stochastic Dynamic Programming Heuristic for the (R, S, S) Policy Parameters Computation
Visentin, Andrea; Prestwich, Steven; Rossi, Roberto; … - 2022
The (R, s, S) is a stochastic inventory control policy widely used by practitioners. In an inventory system managed according to this policy, the inventory is reviewed at instant R; if the observed inventory position is lower than the reorder level s an order is placed. The order’s quantity is...
Persistent link: https://www.econbiz.de/10013289004
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A Hybrid Methodology based on heuristic algorithms for a production distribution system with routing decisions
Bensakhria, Mohamed; Abdelhamid, Samir - In: Bizinfo (Blace) : časopis iz oblasti ekonomije … 12 (2021) 2, pp. 1-22
Persistent link: https://www.econbiz.de/10013167862
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A novel approach to nonlinear short-term hydropower optimization using a combination of heuristic and metaheuristic algorithm
Jafari Aminabadi, Mohammad; Séguin, Sara; Fofana, Issouf - 2023
Persistent link: https://www.econbiz.de/10014448095