Energetic reasoning revisited: application to parallel machine scheduling

Title Energetic reasoning revisited: application to parallel machine scheduling
Author Hidri, L., Gharbi, A., Haouari, Mohamed
Publication Date: 2008-08
Publication Place - Springer Science+Business Media
Subject Scheduling, Release dates, Due dates, Makespan, Feasibility and adjustment procedures, Energetic reasoning, Branch-and-bound
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1094-6136
Record ID 529d1567-e823-4b6e-af11-680f76ec7bac
Library Location Industrial Engineering
Date 2008-08
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text We consider the problem of minimizing makespan on identical parallel machines subject to release dates and delivery times. We present several new feasibility tests and adjustment techniques that consistently improve theclassical energetic reasoning approach. Computational results carried out on a set of hard instances provide strong evidence that the performance of a state-of-the-art exact branch-and-bound algorithm is substantially improved through embedding the proposed enhanced energetic reasoning.
DOI 10.1007/s10951-008-0070-z
Cilt 11
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Energetic reasoning revisited: application to parallel machine scheduling

Author Hidri, L., Gharbi, A., Haouari, Mohamed
Publication Date 2008-08
Publication Place - Springer Science+Business Media
Subject Scheduling, Release dates, Due dates, Makespan, Feasibility and adjustment procedures, Energetic reasoning, Branch-and-bound
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1094-6136
Record ID 529d1567-e823-4b6e-af11-680f76ec7bac
Library Location Industrial Engineering
Date 2008-08
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text We consider the problem of minimizing makespan on identical parallel machines subject to release dates and delivery times. We present several new feasibility tests and adjustment techniques that consistently improve theclassical energetic reasoning approach. Computational results carried out on a set of hard instances provide strong evidence that the performance of a state-of-the-art exact branch-and-bound algorithm is substantially improved through embedding the proposed enhanced energetic reasoning.
DOI 10.1007/s10951-008-0070-z
Cilt 11
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