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2006•Advances in intelligent systems research/Advances in Intelligent Systems ResearchOpen access

A Study on the Adaptive Tabu Algorithm for the Dynamic Vehicle Routing Problem

Hsien-ming Chiu

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Abstract

In this paper, a five-phase solution procedure based on the Tabu search is proposed to solve the dynamic vehicle routing problem with real time demand information.A series of case studies with different characteristics such as demand density, demand size are used to test the solution capability of the proposed algorithm.

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What this paper is about

In this paper, a five-phase solution procedure based on the Tabu search is proposed to solve the dynamic vehicle routing problem with real time demand information.A series of case studies with different characteristics such as demand density, demand size are used to test the solution capability of the proposed algorithm.

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Available abstract

In this paper, a five-phase solution procedure based on the Tabu search is proposed to solve the dynamic vehicle routing problem with real time demand information.A series of case studies with different characteristics such as demand density, demand size are used to test the solution capability of the proposed algorithm.

Key concepts: Tabu search, Vehicle routing problem, Computer science, Routing (electronic design automation), Adaptive routing, Algorithm, Mathematical optimization, Algorithm design

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