CLING: heuristic to solve integrated resource allocation and routing problem with time window

CLING: heuristic to solve integrated resource allocation and routing problem with time window

0.00 Avg rating0 Votes
Article ID: iaor20125325
Volume: 13
Issue: 2
Start Page Number: 247
End Page Number: 266
Publication Date: Aug 2012
Journal: International Journal of Services and Operations Management
Authors: , , ,
Keywords: allocation: resources, heuristics
Abstract:

One of the important extensions of the classical resource allocation problem is integrated resource allocation and routing problem with time window (IRARPTW). IRARPTW problem focuses on the time window for the service at the demanding node with the consideration of travel time of vehicle for a varying demand‐oriented multi‐echelon supply chain with the consideration of limitation on the number of supply catalyst resource. We have developed a unified heuristic named clustering inherent genetic algorithm (CLING) to solve vehicle routing problem with time windows and IRARPTW. Heuristic CLING was tested for benchmark datasets of VRPTW and derived datasets of IRARPTW and yielded encouraging results.

Reviews

Required fields are marked *. Your email address will not be published.