Analysis of firefly algorithms and automatic parameter tuning
Book chapter
Yang, X. 2014. Analysis of firefly algorithms and automatic parameter tuning. in: Emerging Research on Swarm Intelligence and Algorithm Optimization Information Science Reference, IGI-Global. pp. 36-49
Chapter title | Analysis of firefly algorithms and automatic parameter tuning |
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Authors | Yang, X. |
Abstract | Many metaheuristic algorithms are nature-inspired, and most are population-based. Particle swarm optimization is a good example as an efficient metaheuristic algorithm. Inspired by PSO, many new algorithms have been developed in recent years. For example, firefly algorithm was inspired by the flashing behaviour of fireflies. In this chapter, the authors analyze the standard firefly algorithm and study the chaos-enhanced firefly algorithm with automatic parameter tuning. They first compare the performance of these algorithms and then use them to solve a benchmark design problem in engineering. Results obtained by other methods are compared and analyzed. The authors also discuss some important topics for further research. |
Page range | 36-49 |
Book title | Emerging Research on Swarm Intelligence and Algorithm Optimization |
Publisher | Information Science Reference, IGI-Global |
ISBN | |
Hardcover | 9781466663282 |
Publication dates | |
31 Jul 2014 | |
Publication process dates | |
Deposited | 21 Apr 2016 |
Accepted | 11 Feb 2014 |
Output status | Published |
Web address (URL) | http://www.igi-global.com/chapter/analysis-of-firefly-algorithms-and-automatic-parameter-tuning/115297 |
Digital Object Identifier (DOI) | https://doi.org/10.4018/978-1-4666-6328-2.ch002 |
Language | English |
https://repository.mdx.ac.uk/item/8648z
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