Nature-Inspired Algorithms and Applied Optimization

Released on by Xin-She Yang
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  • Nature-Inspired Algorithms and Applied Optimization Book Detail

  • Author : Xin-She Yang
  • Release Date : 2017-10-08
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Pages : 332
  • ISBN 13 : 3319676695
  • File Size : 30,30 MB
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Nature-Inspired Algorithms and Applied Optimization by Xin-She Yang PDF Summary

Book Description: 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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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms

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Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach

Nature-Inspired Algorithms for Optimisation

Nature-Inspired Algorithms for Optimisation

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Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly