Bio-inspired algorithms for engineering /
by Alanis, Alma Y; Arana-Daniel, Nancy [jt. aut.]; López-Franco, Carlos [jt. aut.].
Material type:
BookPublisher: Oxford : Butterworth-Heinemann, 2018.Description: xv, 136 p. : ill. ; 23 cm.ISBN: 9780128137888 (pbk).Subject(s): Robots (Algorithms) | Neural computersSummary: "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"-- Provided by publisher.
| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
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Dhaka University Science Library General Stacks | Non Fiction | 629.892632 ALB (Browse shelf) | 1 | Available | 518834 | |
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Books
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Dhaka University Science Library General Stacks | Non Fiction | 629.892632 ALB (Browse shelf) | 2 | Available | 518835 |
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"-- Provided by publisher.
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