King Saud University Repository >
King Saud University >
Science Colleges >
College of Engineering >
College of Engineering >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/13094

Title: A genetic algorithm approach to the integrated inventory-distribution problem.
Authors: Abdelmaguid, T.F
Dessouky, M.M.
Keywords: GA; Inventory management; Inventory routing; Lot sizing; Vehicle routing
Issue Date: 2006
Publisher: Taylor & Francis
Citation: International Journal of Production Research, 44 (21), pp. 4445-4464.
Abstract: We introduce a new genetic algorithm (GA) approach for the integrated inventory distribution problem (IIDP). We present the developed genetic representation and use a randomized version of a previously developed construction heuristic to generate the initial random population. We design suitable crossover and mutation operators for the GA improvement phase. The comparison of results shows the significance of the designed GA over the construction heuristic and demonstrates the capability of reaching solutions within 20% of the optimum on sets of randomly generated test problems. .
URI: http://hdl.handle.net/123456789/13094
ISSN: 00207543
Appears in Collections:College of Engineering

Files in This Item:

File Description SizeFormat
4.doc44.5 kBMicrosoft WordView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


DSpace Software Copyright © 2002-2009 MIT and Hewlett-Packard - Feedback