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

Pascal Rebreyend 1 Laurent Lemarchand 2
1 Hogskolan Dalarna
2 Lab-STICC_UBO_CACS_MOCS
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.
Keywords : P-median problem genetic algoritms large scale instances linear programming
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Conference papers
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https://hal.univ-brest.fr/hal-01198391
Contributor : Laurent Lemarchand <>
Submitted on : Saturday, September 12, 2015 - 10:11:09 AM
Last modification on : Wednesday, June 24, 2020 - 4:19:24 PM

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  • HAL Id : hal-01198391, version 1

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UNIV-BREST | CNRS | INSTITUT-TELECOM | ENIB | LAB-STICC_ENIB | LAB-STICC | LAB-STICC_UBO | IBNM

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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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