Napredna pretraga

Pregled bibliografske jedinice broj: 936074

Evolving priority rules for resource constrained project scheduling problem with genetic programming


Đumić, Mateja; Šišejković, Dominik; Čorić, Rebeka; Jakobović, Domagoj
Evolving priority rules for resource constrained project scheduling problem with genetic programming // Future generation computer systems, 86 (2018), 211-221 doi:10.1016/j.future.2018.04.029 (međunarodna recenzija, članak, znanstveni)


Naslov
Evolving priority rules for resource constrained project scheduling problem with genetic programming

Autori
Đumić, Mateja ; Šišejković, Dominik ; Čorić, Rebeka ; Jakobović, Domagoj

Izvornik
Future generation computer systems (0167-739X) 86 (2018); 211-221

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Genetic programming ; Resource constrained scheduling ; Hyper-heuristics

Sažetak
The main task of scheduling is the allocation of limited resources to activities over time periods to optimize one or several criteria. The scheduling algorithms are devised mainly by the experts in the appropriate fields and evaluated over synthetic benchmarks or real- life problem instances. Since many variants of the same scheduling problem may appear in practice, and there are many scheduling algorithms to choose from, the task of designing or selecting an appropriate scheduling algorithm is far from trivial. Recently, hyper-heuristic approaches have been proven useful in many scheduling domains, where machine learning is applied to develop a customized scheduling method. This paper is concerned with the resource constrained project scheduling problem (RCPSP) and the development of scheduling heuristics based on Genetic programming (GP). The results show that this approach is a viable option when there is a need for a customized scheduling method in a dynamic environment, allowing the automated development of a suitable scheduling heuristic.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Osijeku, Odjel za matematiku

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


Citati