Bio-inspired Algorithms for Engineering
Synopsis
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
Book details
- Author:
- Nancy Arana-Daniel, Carlos Lopez-Franco, Alma Y Alanis
- ISBN:
- 9780128137895
- Related ISBNs:
- 9780128137888
- Publisher:
- Butterworth-Heinemann
- Pages:
- 152
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2024-10-13
- Usage restrictions:
- Copyright
- Copyright date:
- 2018
- Copyright by:
- Elsevier Science & Technology
- Adult content:
- No
- Language:
- English
- Categories:
- Nonfiction, Technology