Pregled bibliografske jedinice broj: 1262960
Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment
Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment // Engineering applications of artificial intelligence (2023) doi:10.1016/j.engappai.2023.106096 (znanstveni, prihvaćen)
CROSBI ID: 1262960 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment
Autori
Đurasević, Marko ; Gil-Gala Francisco Javier ; Planinić, Lucija ; Jakobović, Domagoj
Vrsta, podvrsta
Radovi u časopisima,
znanstveni
Izvornik
Engineering applications of artificial intelligence (2023)
Status rada
Prihvaćen
Ključne riječi
Genetic programming ; Unrelated machines environment ; Scheduling ; Dispatching rules ; Ensembles
Sažetak
Dynamic scheduling represents an important combinatorial optimisation problem that often appears in the real world. The difficulty in solving these problems arises from their dynamic nature, which limits the applicability of improvement based metaheuristics. Dynamic problems are usually solved using dispatching rules (DRs), which iteratively construct the schedule. Recently, such heuristics have been constructed using various hyperheuristic methods, most notably genetic programming. Although automatically designed DRs achieve good performance, it is still very difficult to design a single DR that would perform a good decision at every decision point. As a remedy, DRs were combined into ensembles to improve their performance. For that purpose it is required to define how ensembles are constructed and how DRs in the ensemble collaborate. This paper proposes a novel ensemble collaboration method based on a similar method applied for static scheduling problems and adapts it for dynamic problems. The goal is to obtain a collaboration method that produces better results than standard collaboration methods. Additionally, the paper investigates the application of novel ensemble construction methods for dynamic scheduling. The proposed methods are validated on dynamic unrelated machines scheduling problem and compared with existing ensemble construction and collaboration methods. The obtained results demonstrate that the proposed collaboration method performs better than standard ones. Further analyses provide additional insights into the proposed methods and outline several potential research directions in the area of hyper-heuristic ensemble construction.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2019-04-4333 - Hiperheurističko oblikovanje pravila raspoređivanja (HyDDRa) (Jakobović, Domagoj, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada doi www.zemris.fer.hr www.sciencedirect.comCitiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus