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Journal ArticleDOI

A tabu search heuristic for periodic and multi-depot vehicle routing problems

Jean-François Cordeau, +2 more
- 01 Sep 1997 - 
- Vol. 30, Iss: 2, pp 105-119
TLDR
In this article, a tabu search heuristic was proposed for solving three well-known routing problems: the periodic vehicle routing problem, the periodic traveling salesman problem, and the multi-depot vehicle routing problems.
Abstract
We propose a tabu search heuristic capable of solving three well-known routing problems: the periodic vehicle routing problem, the periodic traveling salesman problem, and the multi-depot vehicle routing problem. Computational experiments carried out on instances taken from the literature indicate that the proposed method outperforms existing heuristics for all three problems. © 1997 John Wiley & Sons, Inc. Networks 30: 105–119, 1997

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Book

Tabu Search

TL;DR: This book explores the meta-heuristics approach called tabu search, which is dramatically changing the authors' ability to solve a host of problems that stretch over the realms of resource planning, telecommunications, VLSI design, financial analysis, scheduling, spaceplanning, energy distribution, molecular engineering, logistics, pattern classification, flexible manufacturing, waste management,mineral exploration, biomedical analysis, environmental conservation and scores of other problems.
Journal ArticleDOI

A general heuristic for vehicle routing problems

TL;DR: A unified heuristic which is able to solve five different variants of the vehicle routing problem and shown promising results for a large class of vehicle routing problems with backhauls as demonstrated in Ropke and Pisinger.
Journal ArticleDOI

The orienteering problem: A survey

TL;DR: The OP is formally described and many relevant variants are presented and all published exact solution approaches and (meta) heuristics are discussed and compared.
BookDOI

Genetic and Evolutionary Computation -- GECCO-2003

TL;DR: This work extends the application of CPSO to the dynamic problem by considering a bi-modal parabolic environment of high spatial and temporal severity, and suggests that charged swarms perform best in the extreme cases, but neutral swarms are better optimizers in milder environments.
Journal ArticleDOI

A unified tabu search heuristic for vehicle routing problems with time windows

TL;DR: A unified tabu search heuristic for the vehicle routing problem with time windows and for two important generalizations: the periodic and the multi-depot vehicle routing problems with timewindows is presented.
References
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Journal ArticleDOI

The vehicle routing problem: An overview of exact and approximate algorithms

TL;DR: In this paper, some of the main known results relative to the Vehicle Routing Problem are surveyed.
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