A parallel genetic algorithm for multi-objective flexible flowshop scheduling in pasta manufacturing-Reference-Cited by-同舟云学术

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A parallel genetic algorithm for multi-objective flexible flowshop scheduling in pasta manufacturing

Published:2021-11 Issue: Volume:161 Page:107659
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Shen Ke,De Pessemier Toon,Martens Luc,Joseph Wout

Funder

Flanders Innovation & Entrepreneurship

IMEC

China Scholarship Council

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference59 articles.

1. An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization;Andre;Advances in engineering software,2001

2. A flexible flowshop problem with total flow time minimization;Azizoğlu;European Journal of Operational Research,2001

3. A two-stage methodology for short-term batch plant scheduling: discrete-event simulation and genetic algorithm;Azzaro-Pantel;Computers & chemical engineering,1998

4. pymoo: Multi-objective optimization in python;Blank;IEEE Access,2020

5. Branch and bound algorithm for the flow shop with multiple processors;Brah;European journal of operational research,1991

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