Bi-objective optimization algorithms for joint production and maintenance scheduling under a global resource constraint: Application to the permutation flow shop problem-Reference-Cited by-同舟云学术

Bi-objective optimization algorithms for joint production and maintenance scheduling under a global resource constraint: Application to the permutation flow shop problem

Published:2020-10 Issue: Volume:122 Page:104943
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

BOUFELLOUH Radhwane^ORCID,BELKAID Fayçal^ORCID

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference74 articles.

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2. A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms;Ahmadi;Computers & Operations Research,2016

3. Simultaneously scheduling n jobs and the preventive maintenance on the two-machine flow shop to minimize the makespan;Allaoui;International Journal of Production Economics,2008

4. A two-stage coupled algorithm for an integrated maintenance planning and flow shop scheduling problem with deteriorating machines;Bajestani;Journal of Scheduling,2015

5. Adaptive mechanisms for multi-objective evolutionary algorithms;Basseur,2003

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