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Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems
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Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems
The text provides practical guidance to implement nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature-inspired metaheuristic algorithms have the potential to contribute to multiple UN SDG such as climate action, clean energy, and sustainable cities.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Pendiente de lanzamiento | 24 de noviembre de 2026 |
| ISBN13 | 9781041010470 |
| Editores | Taylor & Francis Ltd |
| Páginas | 384 |
| Dimensiones | 150 × 220 × 10 mm · 577 g (Peso (estimado)) |
| Editor | Bansal, Sulabh (Manipal Uni, Jaipur, India) |
| Editor | Srivastava, Shilpa (Christ Deemed to be University, Delhi NCR, India) |
| Editor | Tripathi, Aprna (Manipal University, Jaipur, India) |
| Editor | Vuppuluri, Prem Prakash (D.E.I. Dayalbagh, India) |
