Bio-inspired Algorithms for Engineering

✍ Scribed by Alma Y. Alanis; Carlos Lopez-Franco; Nancy Arana-Daniel

Publisher: Butterworth-Heinemann (Elsevier)
Year: 2018
Tongue: English
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

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