Solving the Mixed Backhauling Vehicle Routing: Problem with Ants

Niaz A. Wassan, Said Salhi, Gábor Nagy, Naveed Wassan and Anne C. Wade
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Niaz A. Wassan: Center for Logistics and Heuristics Optimization, Kent Business School, University of Kent, Canterbury, Kent, UK
Said Salhi: Center for Logistics and Heuristics Optimization, Kent Business School, University of Kent, Canterbury, Kent, UK
Gábor Nagy: Center for Logistics and Heuristics Optimization, Kent Business School, University of Kent, Canterbury, Kent, UK
Naveed Wassan: Center for Logistics and Heuristics Optimization, Kent Business School, University of Kent, Canterbury, Kent, UK
Anne C. Wade: BAE Systems, Insyte, Filton, UK

International Journal of Energy Optimization and Engineering (IJEOE), 2013, vol. 2, issue 2, 62-77

Abstract: The mixed vehicle routing problem with backhauls is investigated using ant system heuristic. This distribution problem seems to suffer from a lack of published work even though it has immense practical applicability especially within logistic systems. Some enhancements to the basic ant system algorithm are embedded into the search. In particular a focus is on the choice in the placement of ants, the use of site-dependent candidate list, the introduction of a look ahead-based visibility, and appropriate strategies for updating local and global trails. Encouraging computational results are reported when tested on benchmark data sets.

Date: 2013
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