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, 169-178 . ISBN 9783642049439

Full text is not in this repository.

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:School of Science and Technology > Computer and Communications Engineering
ID Code:9591
Deposited On:23 Nov 2012 09:13
Last Modified:13 May 2014 15:37

Repository staff only: item control page

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year