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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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Oxford, United Kingdom
Butterworth-Heinemann, an imprint of Elsevier
[2018]
|
| Edition: | First edition |
| Subjects: | |
| Online Access: | FLA01 Volltext Volltext |
| 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"-- |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 online resource |
| ISBN: | 9780128137895 0128137894 |
Staff View
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| 520 | |a "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"-- | ||
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Record in the Search Index
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| author | Alanis, Alma Y. Arana-Daniel, Nancy Lopez-Franco, Carlos |
| author_facet | Alanis, Alma Y. Arana-Daniel, Nancy Lopez-Franco, Carlos |
| author_role | aut aut aut |
| author_sort | Alanis, Alma Y. |
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| building | Verbundindex |
| bvnumber | BV046127060 |
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| dewey-full | 005.1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.1 |
| dewey-search | 005.1 |
| dewey-sort | 15.1 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV046127060 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:35:55Z |
| institution | BVB |
| isbn | 9780128137895 0128137894 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031507514 |
| oclc_num | 1021172444 |
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| physical | 1 online resource |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Butterworth-Heinemann, an imprint of Elsevier |
| record_format | marc |
| spelling | Alanis, Alma Y. Verfasser aut Bio-inspired algorithms for engineering Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco First edition Oxford, United Kingdom Butterworth-Heinemann, an imprint of Elsevier [2018] © 2018 1 online resource txt rdacontent c rdamedia cr rdacarrier 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"-- COMPUTERS / Programming / Algorithms bisacsh Computer algorithms fast Computer algorithms Natural computation Industrial applications Evolutionary computation Industrial applications Natural computation Scientific applications Evolutionary computation Scientific applications Ingenieurwissenschaften (DE-588)4137304-2 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 s Ingenieurwissenschaften (DE-588)4137304-2 s 1\p DE-604 Arana-Daniel, Nancy aut Lopez-Franco, Carlos aut Erscheint auch als Druck-Ausgabe 0128137886 Erscheint auch als Druck-Ausgabe 9780128137888 https://www.sciencedirect.com/science/book/9780128137888 Verlag URL des Erstveröffentlichers Volltext http://www.sciencedirect.com/science/book/9780128137888 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Alanis, Alma Y. Arana-Daniel, Nancy Lopez-Franco, Carlos Bio-inspired algorithms for engineering COMPUTERS / Programming / Algorithms bisacsh Computer algorithms fast Computer algorithms Natural computation Industrial applications Evolutionary computation Industrial applications Natural computation Scientific applications Evolutionary computation Scientific applications Ingenieurwissenschaften (DE-588)4137304-2 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| subject_GND | (DE-588)4137304-2 (DE-588)4366912-8 |
| title | Bio-inspired algorithms for engineering |
| title_auth | Bio-inspired algorithms for engineering |
| title_exact_search | Bio-inspired algorithms for engineering |
| title_full | Bio-inspired algorithms for engineering Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco |
| title_fullStr | Bio-inspired algorithms for engineering Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco |
| title_full_unstemmed | Bio-inspired algorithms for engineering Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco |
| title_short | Bio-inspired algorithms for engineering |
| title_sort | bio inspired algorithms for engineering |
| topic | COMPUTERS / Programming / Algorithms bisacsh Computer algorithms fast Computer algorithms Natural computation Industrial applications Evolutionary computation Industrial applications Natural computation Scientific applications Evolutionary computation Scientific applications Ingenieurwissenschaften (DE-588)4137304-2 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| topic_facet | COMPUTERS / Programming / Algorithms Computer algorithms Natural computation Industrial applications Evolutionary computation Industrial applications Natural computation Scientific applications Evolutionary computation Scientific applications Ingenieurwissenschaften Evolutionärer Algorithmus |
| url | https://www.sciencedirect.com/science/book/9780128137888 http://www.sciencedirect.com/science/book/9780128137888 |
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