Abstract
In this paper, an improved memetic differential evolution algorithm with generalized fitness (MDEGF) is proposed for vehicle routing problem with time windows (VRPTW). A generalized fitness strategy is designed to evaluate the quality of source-individuals, which incorporates three simple local search techniques and helps to improve the convergent performance. Experimental results show that the novel algorithm can solve the VRPTW and obtain better solution in short time. © 2012 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Liu, W., Wang, X., & Li, X. (2012). Memetic differential evolution for vehicle routing problem with time windows. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7331 LNCS, pp. 358–365). https://doi.org/10.1007/978-3-642-30976-2_43
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
