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Testing Algorithm For Large P-median Problems In Heterogenous Road Networks

Pascal Rebreyend 1 Laurent Lemarchand 2 
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : This paper presents and compares different algorithms on large scale p-median problems, up to 2000 candidate nodes. Our main focus is instances where the demand is asymmetric distributed. We use as real data the Swedish road network including distances and as demand points the location of Swedish citizens as our experimental context. Tested methods simulated annealing, volume algorithm and Cplex. Our new hybrid genetic approach outperforms other existing approaches on large instances.
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Conference papers
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Contributor : Laurent Lemarchand Connect in order to contact the contributor
Submitted on : Saturday, September 12, 2015 - 10:11:09 AM
Last modification on : Monday, March 14, 2022 - 11:08:08 AM


  • HAL Id : hal-01198391, version 1


Pascal Rebreyend, Laurent Lemarchand. Testing Algorithm For Large P-median Problems In Heterogenous Road Networks. INFORMS, Nov 2015, Philadelphia, United States. ⟨hal-01198391⟩



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