Bio-inspired algorithms for engineering / Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco, University of Guadalajara, University Center of Exact Sciences and Engineering, Department of Computer Sciences, Intelligent Systems Research Group.
| Author/creator | Alanis, Alma Y. |
| Other author | Arana-Daniel, Nancy. |
| Other author | López-Franco, Carlos. |
| Format | Electronic |
| Publication Info | Oxford, United Kingdom ; Cambridge, MA, United States : Butterworth-Heinemann is an imprint of Elsevier, [2018] |
| Description | xv, 136 pages ; 23 cm |
| Supplemental Content | Full text available from eBook - Engineering 2018 |
| Subjects |
| Abstract | "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. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2018941263 |
| ISBN | 9780128137888 |
| ISBN | 0128137886 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |