Optimization of transportation logistics under uncertainty with simheuristics
J. Castañeda Jimenez, M. Ammouriova, E. Ghorbani, J. Panadero Martinez, A. A. Juan
Optimization problems that arise in the real-life logistics and transportation sector need to consider conditions of uncertainty. Simulation is used in the analysis of complex systems in nondeterministic environments. However, simulation is not an optimization tool, so it should be combined with optimization methods whenever the objective is (i) to maximize system performance using limited resources; or (ii) to minimize its operating cost while guaranteeing a given quality of service. Simheuristics is an extension of metaheuristics by adding a simulation layer that allows the optimization component to deal with scenarios under uncertainty. This paper reviews recent applications of simheuristic algorithms, mainly in the area of logistics and transportation. Current trends and open lines of research in this field are also discussed.
Keywords: Simheuristics, Logistics, Transportation, Optimization
Scheduled
GT09 Heuristics II. Heuristics and metaheuristics
June 8, 2022 5:20 PM
A04
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M. T. Alonso Martínez, A. Martínez Sykora, R. Alvarez Valdés, F. Parreño Torres
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