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Nature-Inspired Computing and Optimization: Theory and Applications - Modeling and Optimization in Science and Technologies Softcover reprint of the original 1st ed. 2017 edition
Nature-Inspired Computing and Optimization: Theory and Applications - Modeling and Optimization in Science and Technologies
The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization.
494 pages, 43 Illustrations, color; 148 Illustrations, black and white; XXI, 494 p. 191 illus., 43 i
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | May 8, 2018 |
| ISBN13 | 9783319845227 |
| Publishers | Springer International Publishing AG |
| Pages | 494 |
| Dimensions | 150 × 220 × 10 mm · 716 g |
| Language | German |
| Editor | Nakamatsu, Kazumi |
| Editor | Patnaik, Srikanta |
| Editor | Yang, Xin-She |