In this paper we propose a multi-colony Ant System, where the colonies solve a multi-objective optimization problem concerned with goods transportation. The colonies differ from each other by the heuristic information, which guides their search through the solution space. Information exchange occurs as ants from one population observe the pheromone trails of other populations and decide whether or not to utilize this information. Furthermore, population sizes are adapted according to the relative fitness of the populations. The results show the advantages of this approach over common Ant System approaches. / Series: Report Series 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_1e6 |
| Date | January 2001 |
| 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/1660/ |
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