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


Other papers in the same session

The dispersion maximization problem with a capacity constraint

A. Martínez Gavara, R. Martí, J. Sánchez-Oro

Resolviendo el problema de rutas y cargas de pallets en camiones

M. T. Alonso Martínez, A. Martínez Sykora, R. Alvarez Valdés, F. Parreño Torres


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