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                                       Details for article 53 of 88 found articles
 
 
  Location problems optimization by a self-organizing multiagent approach
 
 
Title: Location problems optimization by a self-organizing multiagent approach
Author: Moujahed, Sana
Simonin, Olivier
Koukam, Abderrafiaa
Appeared in: Multiagent and grid systems
Paging: Volume 5 (2009) nr. 1 pages 59-74
Year: 2009-04-10
Contents: The Facility Location Problem (FLP) requires locating facilities in order to optimize some performance criteria. This problem occurs in many practical settings where facilities provide a service, such as the location of plants, bus-stops, fire stations, etc. Particularly, we deal with the continuous version of location problem where facilities have to be located in an Euclidean plane. This paper contributes to research on location problems by exploring a new approach based on reactive multiagent systems. The proposed model relies on a set of agents situated in a common environment which interact and attempt to reach a global optimization goal. The interactions between agents and their environment, which are based on the artificial potential fields approach, allow to locally optimize the agent's locations. The optimization of the whole system is the outcome of a process of agents self-organization. Then, we present how the model can be extended to the multi-level version of the location problem. Finally, the approach is evaluated to check its relevance. These evaluations concern both presented versions of the location problem.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 53 of 88 found articles
 
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