Dataset for SWEVO 2022: Green Job Shop Scheduling with Uncertain Times

This dataset is directly associated with the article “Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times” (Swarm and Evolutionary Computation, 2022) and contains the complete set of benchmark instances and experimental results reported in the publication....

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Detalles Bibliográficos
Autores: Afsar, Sezin|||0000-0002-3096-4674, Palacios Alonso, Juan José|||0000-0002-0479-1490, Puente Peinador, Jorge|||0000-0001-6840-3939, Rodríguez Vela, María del Camino|||0000-0001-9271-2360, González Rodríguez, Inés|||0000-0003-3266-009X
Tipo de recurso: conjunto de datos
Fecha de publicación:2022
País:España
Institución:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:español
OAI Identifier:oai:digibuo.uniovi.es:10651/81915
Acceso en línea:https://hdl.handle.net/10651/81915
https://dx.doi.org/10.17811/ruo_datasets.81915
Access Level:acceso abierto
Palabra clave:green job shop scheduling , multiobjective optimization , memetic algorithms, energy-aware scheduling, uncertain processing times, benchmark instances, experimental results
Descripción
Sumario:This dataset is directly associated with the article “Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times” (Swarm and Evolutionary Computation, 2022) and contains the complete set of benchmark instances and experimental results reported in the publication.

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