0000000000179533

AUTHOR

Christos D. Tarantilis

showing 2 related works from this author

A well-scalable metaheuristic for the fleet size and mix vehicle routing problem with time windows

2009

This paper presents an efficient and well-scalable metaheuristic for fleet size and mix vehicle routing with time windows. The suggested solution method combines the strengths of well-known threshold accepting and guided local search metaheuristics to guide a set of four local search heuristics. The computational tests were done using the benchmarks of [Liu, F.-H., & Shen, S.-Y. (1999). The fleet size and mix vehicle routing problem with time windows. Journal of the Operational Research Society, 50(7), 721-732] and 600 new benchmark problems suggested in this paper. The results indicate that the suggested method is competitive and scales almost linearly up to instances with 1000 custome…

Computer. AutomationMathematical optimizationbusiness.industryComputer scienceGeneral EngineeringMetaheuristicsVehicle routingComputer Science ApplicationsSet (abstract data type)Artificial IntelligenceScalabilityVehicle routing problemBenchmark (computing)Local search (optimization)Guided Local SearchHeuristicsbusinessMetaheuristicHeterogeneous vehicles
researchProduct

A hybrid evolution strategy for the open vehicle routing problem

2010

This paper presents a hybrid evolution strategy (ES) for solving the open vehicle routing problem (OVRP), which is a well-known combinatorial optimization problem that addresses the service of a set of customers using a homogeneous fleet of non-depot returning capacitated vehicles. The objective is to minimize the fleet size and the distance traveled. The proposed solution method manipulates a population of @m individuals using a (@m+@l)-ES; at each generation, a new intermediate population of @l offspring is produced via mutation, using arcs extracted from parent individuals. The selection and combination of arcs is dictated by a vector of strategy parameters. A multi-parent recombination …

education.field_of_studyMathematical optimizationGeneral Computer Sciencebusiness.industryComputer scienceOffspringPopulationManagement Science and Operations ResearchTabu searchSearch algorithmModeling and SimulationVehicle routing problemCombinatorial optimizationLocal search (optimization)Guided Local SearchArtificial intelligencebusinesseducationEvolution strategyMetaheuristicComputers & Operations Research
researchProduct