INVESTIGADORES
FRUTOS Mariano
artículos
Título:
A NEW APPROACH TO THE OPTIMIZATION OF THE CVRP THROUGH GENETIC ALGORITHMS
Autor/es:
MARIANO FRUTOS; FERNANDO TOHM√Č
Revista:
AMERICAN JOURNAL OF OPERATIONS RESEARCH
Editorial:
SCIENTIFIC RESEARCH PUBLISHING
Referencias:
Lugar: Irvine; Año: 2012 vol. 2 p. 495 - 495
ISSN:
2160-8849
Resumen:
This paper presents a new approach to the analysis of complex distribution problems under capacity constraints. These problems are known in the literature as CVRPs (Capacitated Vehicle Routing Problems). The procedure introduced in this paper optimizes a transformed variant of a CVRP. It starts generating feasible clusters and codifies their ordering. In the next stage the procedure feeds this information into a genetic algorithm for its optimization. This makes the algo-rithm independent of the constraints and improves its performance. Van Breedam problems have been used to test this technique. While the results obtained are similar to those in other works, the processing times are longer.