A Brief Review of Nature-Inspired Algorithms for Optimization
Abstract
Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based on swarm intelligence, biological systems, physical and chemical systems. Therefore, these algorithms can be called swarm-intelligence-based, bio-inspired, physics-based and chemistry-based, depending on the sources of inspiration. Though not all of them are efficient, a few algorithms have proved to be very efficient and thus have become popular tools for solving real-world problems. Some algorithms are insufficiently studied. The purpose of this review is to present a relatively comprehensive list of all the algorithms in the literature, so as to inspire further research.
Cite
@article{arxiv.1307.4186,
title = {A Brief Review of Nature-Inspired Algorithms for Optimization},
author = {Iztok Fister and Xin-She Yang and Iztok Fister and Janez Brest and Dušan Fister},
journal= {arXiv preprint arXiv:1307.4186},
year = {2013}
}