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Bounding strategies for the hybrid flow shop scheduling problem

İsim Bounding strategies for the hybrid flow shop scheduling problem
Yazar Hidri, L., Haouari, Mohamed
Basım Tarihi: 2011-07-01
Basım Yeri - Elsevier
Konu Scheduling, Hybrid flow shop, Lower bounds, Heuristics
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 0096-3003
Kayıt Numarası d9948359-b82b-4721-811e-735f38da09b3
Lokasyon Industrial Engineering
Tarih 2011-07-01
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin In this paper, we investigate new lower and upper bounds for the multiple-center hybrid flow shop scheduling problem. We propose a family of center-based lower bounds as well as a destructive lower bound that is based on the concept of revised energetic reasoning. Also, we describe an optimization-based heuristic that requires iteratively solving a sequence of parallel machine problems with heads and tails. We present the results of extensive computational experiments that provide evidence that the proposed bounding procedures consistently improve the best existing ones.
DOI 10.1016/j.amc.2011.02.108
Cilt 217
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Bounding strategies for the hybrid flow shop scheduling problem

Yazar Hidri, L., Haouari, Mohamed
Basım Tarihi 2011-07-01
Basım Yeri - Elsevier
Konu Scheduling, Hybrid flow shop, Lower bounds, Heuristics
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 0096-3003
Kayıt Numarası d9948359-b82b-4721-811e-735f38da09b3
Lokasyon Industrial Engineering
Tarih 2011-07-01
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin In this paper, we investigate new lower and upper bounds for the multiple-center hybrid flow shop scheduling problem. We propose a family of center-based lower bounds as well as a destructive lower bound that is based on the concept of revised energetic reasoning. Also, we describe an optimization-based heuristic that requires iteratively solving a sequence of parallel machine problems with heads and tails. We present the results of extensive computational experiments that provide evidence that the proposed bounding procedures consistently improve the best existing ones.
DOI 10.1016/j.amc.2011.02.108
Cilt 217
Özyeğin Üniversitesi
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