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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Alanis, Alma Y. (Autor), Arana-Daniel, Nancy (Autor), Lopez-Franco, Carlos (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford, United Kingdom : Butterworth-Heinemann, an imprint of Elsevier, [2018]
Edición:First edition.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:"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"--
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9780128137895
0128137894