Nature-Inspired Algorithms and Applied Optimization
This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo sear…
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Produktdetails
- ISBN: 978-3-319-67668-5
- EAN: 9783319676685
- Produktnummer: 23897025
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 330 S.
- Masse: H24.1 cm x B16.0 cm x D2.4 cm 682 g
- Abbildungen: Book; 100 farbige Abbildungen, Bibliographie
- Reihenbandnummer: 744
- Gewicht: 682
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