Alanis, Alma Y.
Bio-inspired algorithms for engineering / Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco. - xv, 136 p. : ill. ; 23 cm.
Includes bibliographical references and index.
"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"--
9780128137888 (pbk)
2018941263
Robots (Algorithms).
Neural computers.
QA76.9.A43 / A39 2018
629.892632 / ALB
Bio-inspired algorithms for engineering / Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco. - xv, 136 p. : ill. ; 23 cm.
Includes bibliographical references and index.
"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"--
9780128137888 (pbk)
2018941263
Robots (Algorithms).
Neural computers.
QA76.9.A43 / A39 2018
629.892632 / ALB