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Pregled bibliografske jedinice broj: 891905

Evolving dispatching rules for optimising many- objective criteria in the unrelated machines environment


Đurasević, Marko; Jakobović, Domagoj
Evolving dispatching rules for optimising many- objective criteria in the unrelated machines environment // Genetic programming and evolvable machines, 19 (2018), 1; 9-51 (međunarodna recenzija, članak, znanstveni)


Naslov
Evolving dispatching rules for optimising many- objective criteria in the unrelated machines environment

Autori
Đurasević, Marko ; Jakobović, Domagoj

Izvornik
Genetic programming and evolvable machines (1389-2576) 19 (2018), 1; 9-51

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

Ključne riječi
Dispatching rules ; Genetic programming ; Many-objective optimisation ; Scheduling ; Unrelated machines environment
(Dispatching rules Genetic programming Many-objective optimisation Scheduling Unrelated machines environment)

Sažetak
Dispatching rules are often a method of choice for solving various scheduling problems. Most often, they are designed by human experts in order to optimise a certain criterion. However, it is seldom the case that a schedule should optimise a single criterion all alone. More common is the case where several criteria need to be optimised at the same time. This paper deals with the problem of automatic design of dispatching rules (DRs) by the use of genetic programming, for many-objective scheduling problems. Four multi-objective and many- objective algorithms, including nondominated sorting genetic algorithm II, nondominated sorting genetic algorithm III, harmonic distance based multi-objective evolutionary algorithm and multi-objective evolutionary algorithm based on decomposition, have been used in order to obtain sets of Pareto optimal solutions for various many-objective scheduling problems. Through experiments it was shown that automatically generated multi-objective DRs not only achieve good performance when compared to standard DRs, but can also outperform automatically generated single objective DRs for most criteria combinations.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

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