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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.
| Medien | Bücher Gebundenes Buch (Buch mit hartem Rücken und steifem Einband) |
| Erscheinungsdatum | 9. Juni 2025 |
| ISBN13 | 9781032770871 |
| Verlag | Taylor & Francis Ltd |
| Seitenanzahl | 384 |
| Maße | 150 × 220 × 20 mm · 740 g |
| Sprache | Englisch |
| Redakteur | Bansal, Sulabh (Manipal Uni, Jaipur, India) |
| Redakteur | Srivastava, Shilpa (Christ Deemed to be University, Delhi NCR, India) |
| Redakteur | Tripathi, Aprna (Manipal University, Jaipur, India) |
| Redakteur | Vuppuluri, Prem Prakash (D.E.I. Dayalbagh, India) |
