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EFFECTIVE METAHEURISTICS FOR THE LATENCY LOCATION ROUTING PROBLEM

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dc.creatorCARLOS RODRIGO REY BARRA
dc.date2023
dc.date.accessioned2025-01-10T15:39:41Z
dc.date.available2025-01-10T15:39:41Z
dc.date.issued2023
dc.description.abstractTHE LATENCY LOCATION ROUTING PROBLEM (LLRP), A COMBINATION OF THE FACILITY LOCATION PROBLEM AND THE CUMULATIVE CAPACITATED VEHICLE ROUTING PROBLEM, IS A RECENTLY PROPOSED VARIANT OF LOCATION ROUTING PROBLEMS. IT CORRESPONDS TO A CUSTOMER-CENTRIC PROBLEM, IN WHICH THE AIM IS TO MINIMIZE THE SUM OF THE ARRIVAL TIMES AT THE CUSTOMERS. THIS PAPER PROPOSES THREE NOVEL METAHEURISTIC ALGORITHMS TO SOLVE THE LLRP. THEY USE A SIMULATED ANNEALING FRAMEWORK, WHICH AFTER EACH TEMPERATURE REDUCTION IS INTENSIFIED THROUGH A VARIABLE NEIGHBORHOOD DESCENT PROCEDURE. EACH ALGORITHM USES A DIFFERENT SEARCH STRATEGY AS INTENSIFICATION. RESULTS ON 76 BENCHMARK INSTANCES INDICATE THAT THE PROPOSED METAHEURSTICS OUTPERFORM THE STATE-OF-THE-ART ALGORITHMS, FINDING NEW BEST SOLUTIONS FOR ALL THE LARGE-SIZED INSTANCES (OVER 100 CUSTOMERS), OR THE CURRENTLY KNOWN OPTIMAL ONES FOR MOST OF THE SMALL- AND MEDIUM-SIZED INSTANCES, IN COMPARABLE COMPUTING TIMES. FURTHERMORE, IN MORE THAN 80% OF THE INSTANCES THE AVERAGE VALUE OF THE SOLUTIONS FOUND BY THE PROPOSED ALGORITHMS IS BETTER THAN OR EQUAL TO THAT OF THE CURRENT BEST KNOWN SOLUTION.
dc.formatapplication/pdf
dc.identifier.doi10.1111/itor.13294
dc.identifier.issn1475-3995
dc.identifier.issn0969-6016
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/13066
dc.languagespa
dc.publisherInternational Transactions in Operational Research
dc.relation.uri10.1111/itor.13294
dc.rightsPUBLICADA
dc.titleEFFECTIVE METAHEURISTICS FOR THE LATENCY LOCATION ROUTING PROBLEM
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE INGENIERIA INDUSTRIAL
ubb.SedeCONCEPCIÓN
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