Nature-Inspired Algorithms and Applied Optimization (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2018
Series: Book 248 of 538 - Studies in Computational Intelligence
- Softcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 210.74
Quantity: 1 available
Add to basketItem description from seller
Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9783319884653
- Title
- Nature-Inspired Algorithms and Applied Optimization (Paperback)
- Author
- Xin-She Yang
- Publisher
- Springer International Publishing AG, Cham
- Publication year
- 2018
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3319884654
- ISBN 13
- 9783319884653
- Series
- Book 248 of 538: Studies in Computational Intelligence
Reviews the state-of-the-art developments in nature-inspired algorithms and optimization
Presents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspired algorithms
Introduces algorithms with an emphasis on applied optimization in real-world applications
"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.
AussieBookSeller
Truganina, VIC, Australia
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