Abstract
Firework algorithm (FWA) is a newly proposed swarm intelligence based optimization technique, which presents a different search manner by simulating the explosion of fireworks to search within the potential space till the terminal criterions are met. Since its introduction, a lot of improved work have been conducted, including the enhanced fireworks algorithm (EFWA), the dynamic search in FWA (dynFWA) and adaptive fireworks algorithm (AFWA). This paper is to use the FWA and its variants to take participate in the ICSI2014 competition, the performance among them are compared, and results on 2-, 10-, 30-dimensional benchmark functions are recorded.
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Zheng, S., Liu, L., Yu, C., Li, J., Tan, Y. (2014). Fireworks Algorithm and Its Variants for Solving ICSI2014 Competition Problems. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_50
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DOI: https://doi.org/10.1007/978-3-319-11897-0_50
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