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
Full text is not in this repository.
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|
|Depositing User:||Teddy ~|
|Date Deposited:||23 Nov 2012 09:13|
|Last Modified:||27 Mar 2015 12:01|
Actions (login required)