A branch-and-bound algorithm based on NSGAII for multi-objective mixed integer nonlinear optimization problems-Reference-Cited by-同舟云学术

A branch-and-bound algorithm based on NSGAII for multi-objective mixed integer nonlinear optimization problems

Published:2021-04-05 Issue: Volume: Page:1-19
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Jaber A.¹²^ORCID,Lafon P.¹,Younes R.²

Affiliation:

1. University of Technology of Troyes, Troyes, France

2. Lebanese University, Beirut, Lebanon

Funder

Lebanese University (LU)

regional council of the ‘Grand Est’

European Development Fund

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.2021.1904918

Reference37 articles.

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2. Audet, Charles, Jean Bigeon, Dominique Cartier, Sébastien Le Digabel, and Ludovic Salomon. 2018. Performance Indicators in Multiobjective Optimization. Technical Report G-2018-90. Montréal (Québec), Canada: GERAD. https://www.gerad.ca/fr/papers/G-2018-90.

3. Blum, Christian, Carlos Cotta, Antonio J. Fernández, José E. Gallardo, and Monaldo Mastrolilli. 2008. “Hybridizations of Metaheuristics with Branch & Bound Derivates.” In Hybrid Metaheuristics: An Emerging Approach to Optimization, edited by Christian Blum, Maria José Blesa Aguilera, Andrea Roli, and Michael Sampels, Vol. 114 of Studies in Computational Intelligence, 85–116. Berlin: Springer. doi:10.1007/978-3-540-78295-7_4.

4. Hybrid metaheuristics in combinatorial optimization: A survey

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