Firefly algorithms for multimodal optimization
Book chapter
Yang, X. 2009. Firefly algorithms for multimodal optimization. in: Stochastic Algorithms: Foundations and Applications; 5th International Symposium, SAGA 2009, Sapporo, Japan, October 26-28, 2009. Proceedings Springer.
Chapter title | Firefly algorithms for multimodal optimization |
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Authors | Yang, X. |
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. |
Book title | Stochastic Algorithms: Foundations and Applications; 5th International Symposium, SAGA 2009, Sapporo, Japan, October 26-28, 2009. Proceedings |
Publisher | Springer |
Series | Lecture Notes in Computer Science |
ISBN | |
Hardcover | 9783642049439 |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
Publication process dates | |
Deposited | 23 Nov 2012 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-04944-6_14 |
Web of Science identifier | WOS:000273935000013 |
Language | English |
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