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Journal ArticleDOI

An improved ant colony optimization for vehicle routing problem

TLDR
An improved ant colony optimization (IACO) is proposed, which possesses a new strategy to update the increased pheromone, called ant-weight strategy, and a mutation operation, to solve VRP.
About
This article is published in European Journal of Operational Research.The article was published on 2009-07-01. It has received 412 citations till now. The article focuses on the topics: Ant colony optimization algorithms & Metaheuristic.

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Citations
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Journal ArticleDOI

The vehicle routing problem

TL;DR: This classification is the first to categorize the articles of the VRP literature to this level of detail and is based on an adapted version of an existing comprehensive taxonomy.
Journal ArticleDOI

Survey of Green Vehicle Routing Problem: Past and future trends

TL;DR: The purpose is to review the most up-to-date state-of-the-art of GVRP, discuss how the traditional VRP variants can interact with G VRP and offer an insight into the next wave of research into GVRp.
Journal ArticleDOI

Heuristics for multi-attribute vehicle routing problems: A survey and synthesis

TL;DR: This article takes a closer look at the concepts of 64 remarkable meta-heuristics, selected objectively for their outstanding performance on 15 classic MAVRP with different attributes, and leads to the identification of “winning strategies” in designing effective heuristics forMAVRP.
Journal ArticleDOI

An artificial bee colony algorithm for the capacitated vehicle routing problem

TL;DR: In this article, an enhanced version of the artificial bee colony heuristic was proposed to improve the solution quality of the original version, and the performance of the enhanced heuristic is evaluated on two sets of standard benchmark instances.
References
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Journal ArticleDOI

Ant system: optimization by a colony of cooperating agents

TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
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OR-Library: Distributing Test Problems by Electronic Mail

TL;DR: A system (OR-Library) that distributes test problems by electronic mail (e-mail) that has available test problems drawn from a number of different areas of operational research.
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Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problem

TL;DR: Approximate methods based on descent, hybrid simulated annealing/tabu search, and tabu search algorithms are developed and different search strategies are investigated and an estimate for the tabu list size is statistically derived.
Journal ArticleDOI

A simple and effective evolutionary algorithm for the vehicle routing problem

TL;DR: A GA without trip delimiters, hybridized with a local search procedure is proposed, which outperforms most published TS heuristics on the 14 classical Christofides instances and becomes the best solution method for the 20 large-scale instances generated by Golden et al.
Journal ArticleDOI

Probabilistic diversification and intensification in local search for vehicle routing

TL;DR: A probabilistic technique to diversify, intensify, and parallelize a local search adapted for solving vehicle routing problems and local searches is presented.
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