Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Gil Gala, Francisco Javier"'
The container relocation problem is a combinatorial optimisation problem aimed at finding a sequence of container relocations to retrieve all containers in a predetermined order by minimising a given objective. Relocation rules (RRs), which consist o
Externí odkaz:
http://arxiv.org/abs/2307.01513
Publikováno v:
In Swarm and Evolutionary Computation July 2023 80
Publikováno v:
In Engineering Applications of Artificial Intelligence June 2023 122
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Vehicle routing problems (VRPs) that model transport processes have been intensively studied. Due to environmental concerns, the electric VRP (EVRP), which uses only electric vehicles, has recently attracted more attention. In many cases, such proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91d06c86dd17705a91367067bdcf9cc7
https://doi.org/10.1145/3520304.3528994
https://doi.org/10.1145/3520304.3528994
Publikováno v:
Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence ISBN: 9783031065262
Scheduling represents an important aspect of many real-world processes, which is why such problems have been well studied in the literature. Such problems are often dynamic and require that multiple criteria be optimised simultaneously. Dispatching r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e45b03e9b2e57ed267214ad5c8a8e298
https://doi.org/10.1007/978-3-031-06527-9_12
https://doi.org/10.1007/978-3-031-06527-9_12
Publikováno v:
Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence ISBN: 9783031065262
The Travel Salesman Problem (TSP) is one of the most studied optimization problems due to its high difficulty and its practical interest. In some real-life applications of this problem the solution methods must be very efficient to deal with dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c18c5d99c966a97dab97620a22c05447
https://doi.org/10.1007/978-3-031-06527-9_13
https://doi.org/10.1007/978-3-031-06527-9_13
Autor:
Gil Gala, Francisco Javier, Mencía Cascallana, Carlos, Sierra Sánchez, María Rita, Varela Arias, José Ramiro
Publikováno v:
RUO: Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Universidad de Oviedo (UNIOVI)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
European Conference on Artificial Intelligence (ECAI’2020) (24th. Santiago de Compostela. 2020)
This research has been supported by the Spanish Government underresearch project TIN2016-79190-R and by the Principality of As-turias under grant I
This research has been supported by the Spanish Government underresearch project TIN2016-79190-R and by the Principality of As-turias under grant I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::704b164320b4200853b6764153c5d0c4
http://hdl.handle.net/10651/57896
http://hdl.handle.net/10651/57896
Autor:
Gil Gala, Francisco Javier, Mencía Cascallana, Carlos, Sierra Sánchez, María Rita, Varela Arias, José Ramiro
Publikováno v:
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
instname
Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) (18th. 2018. Granada)
This research has been supported by the Spanish Government under research project TIN2016-79190 R.
This research has been supported by the Spanish Government under research project TIN2016-79190 R.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::06679308f6d357c3cb05202451134561
http://hdl.handle.net/10651/50946
http://hdl.handle.net/10651/50946