Efficiency analysis of swarm intelligence and randomization techniques
Article
Yang, X. 2012. Efficiency analysis of swarm intelligence and randomization techniques. Journal of Computational and Theoretical Nanoscience. 9 (2), pp. 189-198. https://doi.org/10.1166/jctn.2012.2012
Type | Article |
---|---|
Title | Efficiency analysis of swarm intelligence and randomization techniques |
Authors | Yang, X. |
Abstract | 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. |
Keywords | Algorithm; Cuckoo Search; Firefly Algorithm; Swarm Intelligence; Metaheuristics; Optimization; Randomization |
Publisher | American Scientific Publishers |
Journal | Journal of Computational and Theoretical Nanoscience |
ISSN | 1546-1955 |
Electronic | 1546-1963 |
Publication dates | |
01 Feb 2012 | |
Publication process dates | |
Deposited | 19 Nov 2012 |
Output status | Published |
Web address (URL) | http://www.ingentaconnect.com/content/asp/jctn/2012/00000009/00000002/art00003 |
Digital Object Identifier (DOI) | https://doi.org/10.1166/jctn.2012.2012 |
Web of Science identifier | WOS:000302837800003 |
Language | English |
https://repository.mdx.ac.uk/item/83w7w
53
total views0
total downloads0
views this month0
downloads this month