Numerical and Evolutionary Optimization 2021
Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023
Online
E-Book
- 214
This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
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Numerical and Evolutionary Optimization 2021
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Autor/in / Beteiligte Person: | Quiroz, Marcela ; de la Fraga, Luis Gerardo ; Lara, Adriana ; Trujillo, Leonardo ; Schütze, Oliver |
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Veröffentlichung: | Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
Medientyp: | E-Book |
Umfang: | 214 |
ISBN: | 978-3-0365-7904-7 (print) ; 978-3-0365-7905-4 (print) |
DOI: | 10.3390/books978-3-0365-7905-4 |
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