Firefly algorithms for multimodal optimization

Yang, Xin-She (2009) Firefly algorithms for multimodal optimization. In: Stochastic Algorithms: Foundations and Applications; 5th International Symposium, SAGA 2009, Sapporo, Japan, October 26-28, 2009. Proceedings. Lecture Notes in Computer Science (5792). Springer, pp. 169-178. ISBN 9783642049439

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Abstract

Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications. We will compare the proposed firefly algorithm with other metaheuristic algorithms such as particle swarm optimization (PSO). Simulations and results indicate that the proposed firefly algorithm is superior to existing metaheuristic algorithms. Finally we will discuss its applications and implications for further research.

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 9591
Useful Links:
Depositing User: Teddy ~
Date Deposited: 23 Nov 2012 09:13
Last Modified: 13 Oct 2016 14:25
URI: http://eprints.mdx.ac.uk/id/eprint/9591

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