Nature-Inspired Algorithms and Applied Optimization
Language: English
Published by Springer, Springer Okt 2017, 2017
Series: Book 248 of 538 - Studies in Computational Intelligence
- Hardcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 159.22
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Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -Reviews the state-of-the-art developments in nature-inspired algorithms and optimizationPresents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspired algorithmsIntroduces algorithms with an emphasis on applied optimization in real-world applicationsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.
Seller Inventory # 9783319676685
- Title
- Nature-Inspired Algorithms and Applied Optimization
- Author
- Xin-She Yang
- Publisher
- Springer, Springer Okt 2017
- Publication year
- 2017
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3319676687
- ISBN 13
- 9783319676685
- Item weight
- 682 grams
- Dimensions
- 241x160x25 mm
- Series
- Book 248 of 538: Studies in Computational Intelligence
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 search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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 search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
Shipping rates from Germany to U.S.A.
| Item | 60 to 60 business days | 60 to 60 business days |
|---|---|---|
| First item | £ 50.99 | £ 63.74 |
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