Recent Advances in Swarm Intelligence and Evolutionary Computation

  • Xin-She Yang

Part of the Studies in Computational Intelligence book series (SCI, volume 585)

Table of contents

  1. Front Matter
    Pages i-xi
  2. A. Serani, M. Diez, E. F. Campana, G. Fasano, D. Peri, U. Iemma
    Pages 25-47
  3. T. O. Ting, Xin-She Yang, Shi Cheng, Kaizhu Huang
    Pages 71-83
  4. Douglas Rodrigues, Xin-She Yang, André Nunes de Souza, João Paulo Papa
    Pages 85-100
  5. Aziz Ouaarab, Belaïd Ahiod, Xin-She Yang
    Pages 121-137
  6. Milan Tuba, Adis Alihodzic, Nebojsa Bacanin
    Pages 139-162
  7. Momin Jamil, Hans-Jürgen Zepernick, Xin-She Yang
    Pages 179-202
  8. M. K. Marichelvam, T. Prabaharan, M. Geetha
    Pages 225-243
  9. Rasim Temür, Yusuf Sait Türkan, Yusuf Cengiz Toklu
    Pages 283-300

About this book


This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others.

As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.


Bat Algorithm Bio-inspired Computation Bioinformatics Classifications Computational Intelligence Data Mining Data Modeling Evolutionary Computing Heuristics Image Processing Informatics Intelligent Algorithm Machine Learning Metaheuristic Multi-criteria Decision Making Neural Network Optimization Pattern Formation Smart Algorithm

Editors and affiliations

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

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-13825-1
  • Online ISBN 978-3-319-13826-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site