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Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning

Chaos-Enhanced Firefly Algorithm with Automatic Parameter Tuning
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Author(s): Xin-She Yang (National Physical Lab, UK)
Copyright: 2013
Pages: 12
Source title: Recent Algorithms and Applications in Swarm Intelligence Research
Source Author(s)/Editor(s): Yuhui Shi (Southern University of Science and Technology (SUSTech), China)
DOI: 10.4018/978-1-4666-2479-5.ch007


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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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