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| Autore: |
Alanis Alma Y.
|
| Titolo: |
Bio-inspired algorithms for engineering / / Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco
|
| Pubblicazione: | Kidlington, England ; ; Cambridge, Massachusetts : , : Butterworth-Heinemann, , 2018 |
| ©2018 | |
| Edizione: | First edition. |
| Descrizione fisica: | 1 online resource (137 pages) : illustrations |
| Disciplina: | 005.1 |
| Soggetto topico: | Computer algorithms |
| Natural computation - Industrial applications | |
| Persona (resp. second.): | Arana-DanielNancy |
| Lopez-FrancoCarlos | |
| Nota di bibliografia: | Includes bibliographical references at the end of each chapters and index. |
| Sommario/riassunto: | Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. Presents real-time implementation and simulation results for all the proposed schemes Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms Provides a guide for implementing each application at the end of each chapter Includes illustrations, tables and figures that facilitate the reader’s comprehension of the proposed schemes and applications |
| Titolo autorizzato: | Bio-inspired algorithms for engineering ![]() |
| ISBN: | 0-12-813789-4 |
| 0-12-813788-6 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910583383203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |