An efficient chemical reaction algorithm for multi-objective combinatorial bi-level optimization-Reference-Cited by-同舟云学术

An efficient chemical reaction algorithm for multi-objective combinatorial bi-level optimization

Published:2021-03-29 Issue: Volume: Page:1-22
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Abbassi Malek¹²^ORCID,Chaabani Abir¹^ORCID,Said Lamjed Ben¹^ORCID

Affiliation:

1. SMART Lab, Institut Supérieur de Gestion de Tunis, Université de Tunis, Tunis, Tunisia

2. Mines Saint-Etienne, Univ Clermont Auvergne, CNRS, UMR 6158 LIMOS, CMP, Department of Manufacturing Sciences and Logistics, Gardanne, France

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2021.1895991

Reference49 articles.

1. Abbassi, Malek, Abir Chaabani, and Lamjed Ben Said. 2019. “An Investigation of a Bi-Level Non-Dominated Sorting Algorithm for Production–Distribution Planning System.” In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 819–826. Cham, Switzerland: Springer Nature. doi:10.1007/978-3-030-22999-3_69.

2. 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. Cham, Switzerland: Springer Nature. doi:10.1007/978-3-030-57524-3_18.

3. Bi-level multi-objective combinatorial optimization using reference approximation of the lower level reaction

4. ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization

5. A matheuristic for the discrete bilevel problem with multiple objectives at the lower level

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