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Applied Nature Inspired Computing Algorithms and Case Studies 1st ed. 2020 edition
Applied Nature Inspired Computing Algorithms and Case Studies
It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems.
275 pages, 89 Illustrations, color; 45 Illustrations, black and white; XII, 275 p. 134 illus., 89 il
| Medios de comunicación | Libros Book |
| Publicado | 24 de agosto de 2019 |
| ISBN13 | 9789811392627 |
| Editores | Springer Verlag, Singapore |
| Páginas | 275 |
| Dimensiones | 150 × 220 × 20 mm · 580 g |
| Editor | Ashour, Amira S. |
| Editor | Bhattacharyya, Siddhartha |
| Editor | Dey, Nilanjan |