Analysis of firefly algorithms and automatic parameter tuning

Yang, Xin-She ORCID: (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. ISBN 9781466663282. (doi:10.4018/978-1-4666-6328-2.ch002)


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.

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 19456
Depositing User: Xin-She Yang
Date Deposited: 21 Apr 2016 10:55
Last Modified: 10 Jun 2019 13:07

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