Nature Inspired Algorithms and Applied Optimization is popular PDF and ePub book, written by Xin-She Yang in 2017-10-08, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Nature Inspired Algorithms and Applied Optimization can be Read Online from any device for your convenience.
Nature Inspired Algorithms and Applied Optimization Book PDF Summary
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.
Detail Book of Nature Inspired Algorithms and Applied Optimization PDF
- Author : Xin-She Yang
- Release : 08 October 2017
- Publisher : Springer
- ISBN : 9783319676692
- Genre : Technology & Engineering
- Total Page : 330 pages
- Language : English
- PDF File Size : 9,9 Mb
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