Efficiency analysis of swarm intelligence and randomization techniques

Yang, Xin-She ORCID logoORCID: https://orcid.org/0000-0001-8231-5556 (2012) Efficiency analysis of swarm intelligence and randomization techniques. Journal of Computational and Theoretical Nanoscience, 9 (2) . pp. 189-198. ISSN 1546-1955 [Article]


Swarm intelligence has becoming a powerful technique in solving design and scheduling tasks. Metaheuristic algorithms are an integrated part of this paradigm, and particle swarm optimization is often viewed as an important landmark. The outstanding performance and efficiency of swarm-based algorithms inspired many new developments, though mathematical understanding of metaheuristics remains partly a mystery. In contrast to the classic deterministic algorithms, metaheuristics such as PSO always use some form of randomness, and such randomization now employs various techniques. This paper intends to review and analyze some of the convergence and efficiency associated with metaheuristics such as firefly algorithm, random walks, and Lévy flights. We will discuss how these techniques are used and their implications for further research.
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Item Type: Article
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 9555
Useful Links:
Depositing User: Teddy ~
Date Deposited: 19 Nov 2012 09:50
Last Modified: 10 Jun 2019 13:07
URI: https://eprints.mdx.ac.uk/id/eprint/9555

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