In this paper we propose an ACO algorithm to optimize the total costs associated with the pickup and delivery of full truckloads under time window constraints in a hub network. We perform a thorough technical analysis of the ACO by comparing different pheromone decoding schemes, different visibility information and various population sizes. Furthermore we propose a post-optimization technique to improve the solutions. Our results show that appropriate data structures significantly improve the solution quality. / Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:epub-wu-01_e4 |
Date | January 2000 |
Creators | Doerner, Karl, Hartl, Richard F., Reimann, Marc |
Publisher | SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business |
Source Sets | Wirtschaftsuniversität Wien |
Language | English |
Detected Language | English |
Type | Paper, NonPeerReviewed |
Format | application/pdf |
Relation | http://epub.wu.ac.at/1434/ |
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