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Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning

Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning

Xin-She Yang
Copyright: © 2011 |Volume: 2 |Issue: 4 |Pages: 11
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781613509340|DOI: 10.4018/jsir.2011100101
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MLA

Yang, Xin-She. "Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning." IJSIR vol.2, no.4 2011: pp.1-11. http://doi.org/10.4018/jsir.2011100101

APA

Yang, X. (2011). Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning. International Journal of Swarm Intelligence Research (IJSIR), 2(4), 1-11. http://doi.org/10.4018/jsir.2011100101

Chicago

Yang, Xin-She. "Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning," International Journal of Swarm Intelligence Research (IJSIR) 2, no.4: 1-11. http://doi.org/10.4018/jsir.2011100101

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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.

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