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Introduction to Nature-Inspired Algorithms

  • Seyedali MirjaliliEmail author
  • Jin Song Dong
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 811)

Abstract

This chapter is an introduction to nature-inspired algorithms. It first discusses the reason why such algorithms have been very popular in the last decade. Then, different classifications of such methods are given. The chapter also includes the algorithms and problems investigated in this book.

Reference

  1. 1.
    Dorigo, M., & Birattari, M. (2011). Ant colony optimization. In Encyclopedia of machine learning (pp. 36–39). Boston, MA: Springer.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute for Integrated and Intelligent Systems, Griffith University, NathanBrisbaneAustralia
  2. 2.Department of Computer ScienceSchool of Computing, National University of SingaporeSingaporeSingapore

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