Results 1 to 10 of about 103 (82)
Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios [PDF]
Mathematics, 2020 Simheuristics combine metaheuristics with simulation in order to solve the optimization problems with stochastic elements. This paper introduces the concept of fuzzy simheuristics, which extends the simheuristics approach by making use of fuzzy ...
Diego Oliva +2 more
exaly +6 more sources
Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends
Logistics, 2022 Background: Uncertainty conditions have been increasingly considered in optimization problems arising in real-life transportation and logistics activities.
Juliana Castaneda +2 more
exaly +8 more sources
Operations Research Perspectives, 2015 Many combinatorial optimization problems (COPs) encountered in real-world logistics, transportation, production, healthcare, financial, telecommunication, and computing applications are NP-hard in nature. These real-life COPs are frequently characterized
Angel A Juan +2 more
exaly +7 more sources
Simheuristics: An Introductory Tutorial
2022 Winter Simulation Conference (WSC), 2022 This work has been partially funded by the Spanish Ministry of Science (PID2019-111100RB-C21-C22 /AEI/ 10.13039/501100011033 and RED2018-102642-T), as well as by the Barcelona City Council and Fundació “la Caixa” under the framework of the Barcelona Science Plan 2020–2023 (grant 21S09355-001).
Angel A Juan +2 more
exaly +3 more sources
Applying Simheuristics to Minimize Overall Costs of an MRP Planned Production System [PDF]
Algorithms, 2022 Looking at current enterprise resource planning systems shows that material requirements planning (MRP) is one of the main production planning approaches implemented there.
Wolfgang Seiringer +4 more
doaj +5 more sources
Algorithms, 2023 In the field of logistics and transportation (L&T), this paper reviews the utilization of simheuristic algorithms to address NP-hard optimization problems under stochastic uncertainty. Then, the paper explores an extension of the simheuristics concept by
Angel A Juan +2 more
exaly +3 more sources
Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks [PDF]
Algorithms, 2021 The distribution process in business-to-business materials trading is among the most complex and in transparent ones within logistics. The highly volatile environment requires continuous adaptations by the responsible decision-makers, who face a ...
Markus Rabe +3 more
doaj +2 more sources
Applied Sciences (Switzerland), 2021 In the context of logistics and transportation, this paper discusses how simheuristics can be extended by adding a fuzzy layer that allows us to deal with complex optimization problems with both stochastic and fuzzy uncertainty.
Rafael D Tordecilla +2 more
exaly +3 more sources
Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting [PDF]
Lecture Notes in Computer Science, 2016 The firefighter problem (FFP) is a combinatorial problem requiring the allocation of ‘firefighters’ to nodes in a graph in order to protect the nodes from fire (or other threat) spreading along the edges. In the original formulation the problem is deterministic: fire spreads from burning nodes to adjacent, unprotected nodes with certainty.In this paper
Krzysztof Michalak +2 more
exaly +3 more sources
A simheuristic‐based algorithm for the stochastic long‐term maintenance scheduling problem
International Transactions in Operational Research, Volume 33, Issue 1, Page 268-296, January 2026.Abstract This work addresses the problem of assigning preventive maintenance jobs in a 52‐week planning horizon. Given a set of machines that need preventive maintenance, a set of maintenance jobs in these machines, a set of work teams, and a planning horizon, the problem consists of assigning each job to a work team in a given instant of the planning ...
Diego G. Coelho +2 more
wiley +3 more sources