An elitist cooperative evolutionary bi-level multi-objective decomposition-based algorithm for sustainable supply chain
Author:
Affiliation:
1. SMART Lab, Institut Supérieur de Gestion de Tunis, Université de Tunis, Tunis, Tunisia
2. Department of Manufacturing Sciences and Logistics, Mines Saint-Etienne, Univ Clermont Auvergne, CNRS, UMR 6158 LIMOS, CMP, Gardanne, France
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1999523
Reference48 articles.
1. Abbassi, Malek, Abir Chaabani, and Lamjed Ben Said. 2020. “An Improved Bi-level Multi-objective Evolutionary Algorithm for the Production–Distribution Planning System.” In International Conference on Modeling Decisions for Artificial Intelligence, 218–229. Springer. Sant Cugat, Catalonia, Spain.
2. Bi-level multi-objective combinatorial optimization using reference approximation of the lower level reaction
3. An efficient chemical reaction algorithm for multi-objective combinatorial bi-level optimization
4. Coordinated dispatching and acquisition fee decisions for a collection center in a reverse supply chain
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