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Nature-Inspired Algorithms and Applied Optimization

Nature-Inspired Algorithms and Applied Optimization - Studies in Computational Intelligence

1st Edition 2018

Hardback (18 Oct 2017)

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Publisher's Synopsis

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.

Book information

ISBN: 9783319676685
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st Edition 2018
Language: English
Number of pages: 330
Weight: 6387g
Height: 235mm
Width: 155mm
Spine width: 21mm