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The Multi-Commodity One-to-One Pickup-and-Delivery Traveling Salesman Problem: A Matheuristic

  • I. Rodríguez-Martín
  • Juan José Salazar-González
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6701)

Abstract

This paper addresses an extension of the TSP where a vehicle with a limited capacity must transport certain commodities from their origins to their destinations. Each commodity has a weight, and the objective is to find a minimum length Hamiltonian tour satisfying all the transportation requests without ever violating the capacity constraint. We propose for this problem a heuristic approach that combines mathematical programming and metaheuristic techniques. The method is able to improve the best known solutions for a set of instances from the literature in a reasonable amount of computation time.

Keywords

Travel Salesman Problem Precedence Constraint Greedy Randomize Adaptive Search Procedure Delivery Problem Vehicle Capacity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • I. Rodríguez-Martín
    • 1
  • Juan José Salazar-González
    • 1
  1. 1.DEIOCUniversidad de La LagunaSpain

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