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Introduction to Nature-Inspired Algorithms

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Nature-Inspired Optimizers

Part of the book series: Studies in Computational Intelligence ((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.

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Reference

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

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Correspondence to Seyedali Mirjalili .

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Mirjalili, S., Song Dong, J. (2020). Introduction to Nature-Inspired Algorithms. In: Mirjalili, S., Song Dong, J., Lewis, A. (eds) Nature-Inspired Optimizers. Studies in Computational Intelligence, vol 811. Springer, Cham. https://doi.org/10.1007/978-3-030-12127-3_1

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