| Title | : | Bio-inspired Algorithms for Engineering |
|---|---|---|
| Author | : | Nancy Arana-Daniel, Carlos Lopez-Franco & Alma Y. Alanís |
| Release | : | 2018-02-03 |
| Kind | : | ebook |
| Genre | : | Mechanical Engineering, Textbooks, Engineering, Books, Professional & Technical, Engineering |
| Size | : | 22611944 |
| 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 |
