Reducing the Computational Time for the Kemeny Method by Exploiting Condorcet Properties

Autor: Noelia Rico, Camino R. Vela, Raúl Pérez-Fernández, Irene Díaz

Publikováno v: Mathematics, Vol 9, Iss 12, p 1380 (2021)

Preference aggregation and in particular ranking aggregation are mainly studied by the field of social choice theory but extensively applied in a variety of contexts. Among the most prominent methods for ranking aggregation, the Kemeny method has bee

Externí odkaz: https://doaj.org/article/7b4e95f4f1384a6781ce6c893cdb97e4

A Genetic Approach to the Job Shop Scheduling Problem with Interval Uncertainty

Autor: Hernán Díaz, Inés González-Rodríguez, Camino R. Vela, Irene Díaz, Juan José Palacios

Publikováno v: Information Processing and Management of Uncertainty in Knowledge-Based Systems
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783030501426
IPMU (2)

International Conference, Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020 (18th. 2020. Lisbon, Portugal)
Supported by the Spanish Government under research grants TIN2016-79190-R and TIN2017-87600-P and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51494153f74cfbb608ccc1eac9ba2a68
http://europepmc.org/articles/PMC7274742

Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times

Autor: Inés González-Rodríguez, Sezin Afsar, Juan José Palacios, Camino R. Vela, Jorge Puente

Publikováno v: Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Swarm and Evolutionary Computation, 2022, 68, 101016

The quest for sustainability has arrived to the manufacturing world, with the emergence of a research field known as green scheduling. Traditional performance objectives now co-exist with energy-saving ones. In this work, we tackle a job shop schedul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0bfe44c3fd2553cb4cf534bf9e8e911
http://hdl.handle.net/10651/62965

Tardiness Minimisation for Job Shop Scheduling with Interval Uncertainty

Autor: Camino R. Vela, Hernán Díaz, Irene Díaz, Inés González-Rodríguez, Juan José Palacios

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030617042
HAIS
RUO. Repositorio Institucional de la Universidad de Oviedo
instname

International Conference Hybrid Artificial Intelligent Systems. HAIS 2020 (15th. 2020. Gijón, Spain)
This paper considers the interval job shop scheduling problem, a variant of the deterministic problem where task durations and due dates are un

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb496dd2d9d727c53598343cee1157b6
https://doi.org/10.1007/978-3-030-61705-9_18

Multi-objective evolutionary algorithm for solving energy-aware fuzzy job shop problems

Autor: Camino R. Vela, Juan José Palacios, Jorge Puente, Inés González-Rodríguez

Publikováno v: Soft Comput, vol. 24, Iss. 21, pag. 16291-16302 (2020)
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
Universidad de las Islas Baleares

A growing concern about the environmental impact of manufacturing processes and in particular the associated energy consumption has recently driven some researchers within the scheduling community to consider energy costs in addition to more traditio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20cfd1eb93ab07669783a9c6f8dbff57
http://hdl.handle.net/10902/20758