Authors | |
Publisher | Elsevier S & T |
Year | 03/02/2018 |
Version | eBook: Reflowable eTextbook (ePub) |
Language | English |
ISBN | 9780128137895 |
Categories | Mechanical engineering & materials, Automatic control engineering, Robotics |
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.
Bio-inspired Algorithms for Engineering