Learning to project in a criterion space search algorithm: an application to multi-objective binary linear programming

In this paper, we investigate the possibility of improving the performance of multi-objective optimization solution approaches using machine learning techniques. Specifically, we focus on multi-objective binary linear programs and employ one of the most effective and recently developed criterion spa...

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Veröffentlicht in:	Optimization letters Jg. 18; H. 9; S. 2051 - 2078
Hauptverfasser:	Sierra-Altamiranda, Alvaro, Charkhgard, Hadi, Dayarian, Iman, Eshragh, Ali, Javadi, Sorna
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024
Schlagworte:	Computational Intelligence Mathematics Mathematics and Statistics Numerical and Computational Physics Operations Research/Decision Theory Optimization Original Paper Simulation Binary linear program Learning to project Criterion space search algorithm Multiple objective programming Machine learning
ISSN:	1862-4472, 1862-4480
Online-Zugang:	Volltext
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