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- Publisher: MDPI AG
- Year: 2021
- Pages: 364
- ISBN-10: 3036516697
- ISBN-13: 9783036516691
- Format: 17 x 24.4 x 2.9 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Numerical and Evolutionary Optimization 2020 (e-book) (used book) | bookbook.eu
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This book was established after the 8th 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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- Publisher: MDPI AG
- Year: 2021
- Pages: 364
- ISBN-10: 3036516697
- ISBN-13: 9783036516691
- Format: 17 x 24.4 x 2.9 cm, hardcover
- Language: English English
This book was established after the 8th 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.
Reviews