Artikel

Enhancing heuristic bubble algorithm with simulated annealing

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In this study, a new way to improve the Heuristic Bubble Algorithm (HBA) is presented. HBA is a nature-inspired algorithm, which is a new approach to and initially implemented for, vehicle routing problems of pickup and delivery (VRPPD). Later, it was reinforced to solve other routing problems, such as vehicle routing problem with time windows (VRPTW), and vehicle routing problem with stochastic demands (VRPSD). HBA is a greedy algorithm. It will mostly find local optimal solutions. The proposed method is an improvement over HBA enabling it to reach the global minimum. It uses specialized simulated annealing methods in its operators. A well-known data-set is used to benchmark the proposed method. Better results over HBA and some best results in literature are recorded.

Sprache
Englisch

Erschienen in
Journal: Cogent Business & Management ; ISSN: 2331-1975 ; Volume: 3 ; Year: 2016 ; Abingdon: Taylor & Francis

Klassifikation
Management

Ereignis
Geistige Schöpfung
(wer)
Yuce, Mehmet Fatih
Musaoglu, Erhan
Gunes, Ali
Ereignis
Veröffentlichung
(wer)
Taylor & Francis
(wo)
Abingdon
(wann)
2016

DOI
doi:10.1080/23311975.2016.1220662
Handle
Letzte Aktualisierung
20.09.2024, 08:21 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
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Objekttyp

  • Artikel

Beteiligte

  • Yuce, Mehmet Fatih
  • Musaoglu, Erhan
  • Gunes, Ali
  • Taylor & Francis

Entstanden

  • 2016

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