Description: Nature-inspired Algorithms and Applied Optimization, Hardcover by Yang, Xin-she (EDT), ISBN 3319676687, ISBN-13 9783319676685, Like New Used, Free shipping in the US
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.
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Book Title: Nature-inspired Algorithms and Applied Optimization
Number of Pages: Xi, 330 Pages
Language: English
Publication Name: Nature-Inspired Algorithms and Applied Optimization
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Programming / Algorithms, Engineering (General), Intelligence (Ai) & Semantics, Data Processing, Algebra / General, Optimization
Item Weight: 225.3 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Author: Xin-She Yang
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Hardcover
