Bio-inspired algorithms for engineering /

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"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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Alanis, Alma Y. (Author), Arana-Daniel, Nancy (Author), Lopez-Franco, Carlos (Author)
Format: Electronic eBook
Language:Inglés
Published: Oxford, United Kingdom : Butterworth-Heinemann, an imprint of Elsevier, [2018]
Edition:First edition.
Subjects:
Computer algorithms.
Natural computation > Industrial applications.
Evolutionary computation > Industrial applications.
Natural computation > Scientific applications.
Evolutionary computation > Scientific applications.
Algorithms
Algorithmes.
Calcul naturel > Applications industrielles.
Réseaux neuronaux à structure évolutive > Applications industrielles.
Calcul naturel > Applications scientifiques.
Réseaux neuronaux à structure évolutive > Applications scientifiques.
algorithms.
COMPUTERS > Programming > Algorithms.
Computer algorithms
Online Access:Texto completo (Requiere registro previo con correo institucional)
Description
Summary:"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"--
Physical Description:1 online resource
Bibliography:Includes bibliographical references and index.
ISBN:9780128137895
0128137894

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