|
This article is cited in 13 scientific papers (total in 13 papers)
Hybrid local search for the heterogenous fixed fleet vehicle routing problem
Yu. A. Kochetova, A. V. Khmelevb a Sobolev Institute of Mathematics, 4 Koptyug Ave., 630090 Novosibirsk, Russia
b Novosibirsk State University, 2 Pirogov St., 630090 Novosibirsk, Russia
Abstract:
We consider the heterogeneous fixed fleet vehicle routing problem and assume that customers are presented by points in Euclidean plane and a limited fleet of heterogenous vehicles is available. The proposed hybrid local search algorithm uses permutations of customers for coding feasible solutions. For given permutation, the Lagrangian relaxation approach is applied as decoding method for this NP-hard problem. New intensification and diversification procedures are proposed and a new exponential neighborhood is introduced. Computational results for test instances with number of customers up to 255 are reported. New best found solutions are discovered for 15 test instances. Tab. 7, ill. 5, bibliogr. 26.
Keywords:
local search, exponential neighborhood, Lagrangian relaxation, subgradient optimization.
Received: 13.03.2015 Revised: 15.06.2015
Citation:
Yu. A. Kochetov, A. V. Khmelev, “Hybrid local search for the heterogenous fixed fleet vehicle routing problem”, Diskretn. Anal. Issled. Oper., 22:5 (2015), 5–29; J. Appl. Industr. Math., 9:4 (2015), 503–518
Linking options:
https://www.mathnet.ru/eng/da826 https://www.mathnet.ru/eng/da/v22/i5/p5
|
|