Nature-inspired optimization algorithms
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-cho...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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London [England] Waltham [Massachusetts]
Elsevier
2014
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| Ausgabe: | First edition. |
| Schriftenreihe: | Elsevier insights
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| Online-Zugang: | lizenzpflichtig |
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| id | ZDB-30-ORH-047404892 |
| illustrated | Illustrated |
| indexdate | 2024-12-18T08:48:27Z |
| institution | BVB |
| isbn | 9780124167452 0124167454 0124167438 9780124167438 |
| language | English |
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| physical | 1 online resource (276 pages) illustrations |
| psigel | ZDB-30-ORH |
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| spelling | Yang, Xin-She VerfasserIn aut Nature-inspired optimization algorithms Xin-She Yang First edition. London [England] Waltham [Massachusetts] Elsevier 2014 ©2014 1 online resource (276 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Elsevier insights Includes bibliographical references. - Print version record Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literatureProvides a theoretical understanding as well as practical implementation hintsProvides a step-by-step introduction to each algorithm. English. Computer algorithms Parallel processing (Electronic computers) Electronic data processing Distributed processing Artificial intelligence Algorithms Artificial Intelligence Algorithmes Parallélisme (Informatique) Traitement réparti Intelligence artificielle algorithms artificial intelligence COMPUTERS ; General Electronic data processing ; Distributed processing 9780124167438 Erscheint auch als Druck-Ausgabe 9780124167438 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9780124167438/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Yang, Xin-She Nature-inspired optimization algorithms Computer algorithms Parallel processing (Electronic computers) Electronic data processing Distributed processing Artificial intelligence Algorithms Artificial Intelligence Algorithmes Parallélisme (Informatique) Traitement réparti Intelligence artificielle algorithms artificial intelligence COMPUTERS ; General Electronic data processing ; Distributed processing |
| title | Nature-inspired optimization algorithms |
| title_auth | Nature-inspired optimization algorithms |
| title_exact_search | Nature-inspired optimization algorithms |
| title_full | Nature-inspired optimization algorithms Xin-She Yang |
| title_fullStr | Nature-inspired optimization algorithms Xin-She Yang |
| title_full_unstemmed | Nature-inspired optimization algorithms Xin-She Yang |
| title_short | Nature-inspired optimization algorithms |
| title_sort | nature inspired optimization algorithms |
| topic | Computer algorithms Parallel processing (Electronic computers) Electronic data processing Distributed processing Artificial intelligence Algorithms Artificial Intelligence Algorithmes Parallélisme (Informatique) Traitement réparti Intelligence artificielle algorithms artificial intelligence COMPUTERS ; General Electronic data processing ; Distributed processing |
| topic_facet | Computer algorithms Parallel processing (Electronic computers) Electronic data processing Distributed processing Artificial intelligence Algorithms Artificial Intelligence Algorithmes Parallélisme (Informatique) Traitement réparti Intelligence artificielle algorithms artificial intelligence COMPUTERS ; General Electronic data processing ; Distributed processing |
| url | https://learning.oreilly.com/library/view/-/9780124167438/?ar |
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