An improved genetic algorithm approach for on-line optimisation problems-Reference-Cited by-同舟云学术

An improved genetic algorithm approach for on-line optimisation problems

Published:2011-02-10 Issue:8 Volume:22 Page:742-753
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Saenz de Ugarte Benoît¹,Pellerin Robert¹,Artiba Abdelhakim²

Affiliation:

1. a Department of Mathematics and Industrial Engineering , Ecole Polytechnique , Montréal, QC, Canada

2. b Laboratoire d’Automatique, de Mécanique et d’Informatique industrielles et Humaines – UMR 8530 CNRS/UVHC , Université de Valenciennes et du Hainaut-Cambrésis , Valenciennes, France

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537287.2010.543556

Reference32 articles.

1. Optimization of discrete variable stochastic systems by computer simulation

2. Simulation optimization with qualitative variables and structural model changes: A genetic algorithm approach

3. Application of genetic algorithms in production and operations management: a review

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