Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning
Xin-She Yang
Additional contact information
Xin-She Yang: National Physical Lab, UK
International Journal of Swarm Intelligence Research (IJSIR), 2011, vol. 2, issue 4, 1-11
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 paper, the author extends the standard firefly algorithm further to introduce chaos-enhanced firefly algorithm with automatic parameter tuning, which results in two more variants of FA. The author first compares the performance of these algorithms, and then uses them to solve a benchmark design problem in engineering. Results obtained by other methods will be compared and analyzed.
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jsir.2011100101 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:2:y:2011:i:4:p:1-11
Access Statistics for this article
International Journal of Swarm Intelligence Research (IJSIR) is currently edited by Yuhui Shi
More articles in International Journal of Swarm Intelligence Research (IJSIR) from IGI Global
Bibliographic data for series maintained by Journal Editor (journaleditor@igi-global.com).