Stéphane Alarie, Charles Audet
, Aïmen E. Gheribi, Michael Kokkolaras and Sébastien Le Digabel
Article (2021)
 Open Acess document in PolyPublie and at official publisher |
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Abstract
This article reviews blackbox optimization applications of direct search optimization methods over the past twenty years. Emphasis is placed on the Mesh Adaptive Direct Search (Mads) derivative-free optimization algorithm. The main focus is on applications in three specific fields: energy, materials science, and computational engineering design. Nevertheless, other applications in science and engineering, including patents, are also considered. The breadth of applications demonstrates the versatility of Mads and highlights the evolution of its accompanying software NOMAD as a standard tool for blackbox optimization.
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| Department: | Department of Mathematics and Industrial Engineering |
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| Research Center: |
CRCT - Centre for Research in Computational Thermochemistry GERAD - Research Group in Decision Analysis |
| PolyPublie URL: | https://publications.polymtl.ca/49847/ |
| Journal Title: | EURO Journal on Computational Optimization (vol. 9) |
| Publisher: | Elsevier BV |
| DOI: | 10.1016/j.ejco.2021.100011 |
| Official URL: | https://doi.org/10.1016/j.ejco.2021.100011 |
| Date Deposited: | 18 Apr 2023 14:59 |
| Last Modified: | 08 Jan 2026 18:54 |
| Cite in APA 7: | Alarie, S., Audet, C., Gheribi, A. E., Kokkolaras, M., & Le Digabel, S. (2021). Two decades of blackbox optimization applications. EURO Journal on Computational Optimization, 9, 100011 (13 pages). https://doi.org/10.1016/j.ejco.2021.100011 |
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