Parallel strategies for Direct Multisearch
Author:
Funder
Fundação para a Ciência e a Tecnologia
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11075-022-01364-1.pdf
Reference39 articles.
1. Andreani, R., Custódio, A.L., Raydan, M.: Using first-order information in direct multisearch for multiobjective optimization. Optim. Methods Softw., accepted for publication (2022)
2. Audet, C., Béchard, V., Le Digabel, S.: Nonsmooth optimization through mesh adaptive direct search and variable neighborhood search. J. Global Optim. 41, 299–318 (2008)
3. Audet, C., Bigeon, J., Cartier, D., Le Digabel, S., Salomon, L.: Performance indicators in multiobjective optimization. European J. Oper. Res. 292, 397–422 (2021)
4. Audet, C., Dennis Jr., J.E., Le Digabel, S.: Parallel space decomposition of the mesh adaptive direct search algorithm. SIAM J. Optim. 19, 1150–1170 (2008)
5. Audet, C., Hare, W.: Derivative-Free and Blackbox Optimization. Springer, Switzerland (2017)
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1. ParMOO: A Python library for parallel multiobjective simulation optimization;Journal of Open Source Software;2023-02-03
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