Bio-inspired algorithms for engineering

"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-lif...

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Hauptverfasser: Alanis, Alma Y. (VerfasserIn), Arana-Daniel, Nancy (VerfasserIn), Lopez-Franco, Carlos (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Oxford, United Kingdom Butterworth-Heinemann, an imprint of Elsevier [2018]
Ausgabe:First edition.
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Beschreibung
Zusammenfassung:"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 chapterIncludes illustrations, tables and figures that facilitate the reader's comprehension of the proposed schemes and applications"--
Beschreibung:Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed February 13, 2018)
Beschreibung:1 online resource
ISBN:9780128137895
0128137894