Routing design for less-than-truckload motor carriers using Ant Colony Optimization

Routing design for less-than-truckload motor carriers using Ant Colony Optimization

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Article ID: iaor20101236
Volume: 46
Issue: 3
Start Page Number: 367
End Page Number: 383
Publication Date: May 2010
Journal: Transportation Research Part E
Authors: , , ,
Keywords: distribution, heuristics: ant systems
Abstract:

One of the most important challenges that confronts less-than-truckload carriers serving many-to-many distribution networks consists of determining how to consolidate flows of small shipments. The objective is to determine a route for each origin–destination pair that minimizes the cost while still guaranteeing a certain level of service. This research studies different aspects of the problem and provides a metaheuristic algorithm (based on Ant Colony Optimization techniques) capable of solving real-life problems in a reasonable computational time. The viability of the approach has been tested with a real case in Spain and encouraging results have been obtained.

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