Nature-Inspired Algorithms and Applied Optimization

  • Xin-She Yang

Part of the Studies in Computational Intelligence book series (SCI, volume 744)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Xing-Shi He, Fan Wang, Yan Wang, Xin-She Yang
    Pages 53-67
  3. Eneko Osaba, Roberto Carballedo, Xin-She Yang, Iztok Fister Jr., Pedro Lopez-Garcia, Javier Del Ser
    Pages 69-89
  4. Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Xin-She Yang
    Pages 91-118
  5. João Paulo Papa, Gustavo Henrique de Rosa, Xin-She Yang
    Pages 119-147
  6. Carlos Loucera, Andrés Iglesias, Akemi Gálvez
    Pages 149-169
  7. Aylin Ece Kayabekir, Gebrail Bekdaş, Sinan Melih Nigdeli, Xin-She Yang
    Pages 171-188
  8. Asma Chakri, Haroun Ragueb, Xin-She Yang
    Pages 189-216
  9. Xin-She Yang, Xing-Shi He
    Pages 245-259
  10. T. Jayabarathi, T. Raghunathan, A. H. Gandomi
    Pages 313-330

About this book


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.


Algorithm Applied Optimization Bio-inspired Computing Bat Algorithm Convergence Analysis Cuckoo Search Economic Load Dispatch Feature Selection Firefly Algorithm Flower Pollination Algorithm Simulated Annealing Swarm Intelligence Nature-inspired Algorithm Wireless Sensor Network Particle Swarm Optimization Scheduling Metaheuristics Multi-objective Optimization No Free Lunch Theorem Vehicle Routing

Editors and affiliations

  • Xin-She Yang
    • 1
  1. 1.School of Science and TechnologyMiddlesex UniversityLondonUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-67668-5
  • Online ISBN 978-3-319-67669-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site