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.