| Management number | 231453788 | Release Date | 2026/06/18 | List Price | $35.45 | Model Number | 231453788 | ||
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This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers. Read more
| ASIN | B0843NX5CT |
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| XRay | Not Enabled |
| ISBN13 | 978-3030264581 |
| Edition | 1st ed. 2020 |
| Language | English |
| File size | 74.1 MB |
| Page Flip | Enabled |
| Publisher | Springer |
| Word Wise | Enabled |
| Print length | 814 pages |
| Accessibility | Learn more |
| Book 12 of 14 | Modeling and Optimization in Science and Technologies |
| Publication date | January 17, 2020 |
| Enhanced typesetting | Enabled |
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