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- W2498017147 abstract "Fireworks algorithm (FWA) is considered a novel algorithm that reacts the fireworks explosion process. An adaptive fireworks algorithm (AFWA) proposes additional adaptive amplitudes in regards to enhancing performance of the enhanced fireworks algorithm (EFWA). The purpose of this paper is to add chaos to the AFWA with the goal of boosting performance and achieving global optimization. The parameter λ is tuned using ten chaotic maps, and twelve benchmark functions will be tested in regards to chaotic adaptive fireworks algorithm (CAFWA). The final results conclude the CAFWA is able to outperform the FWA, EFWA, and AFWA. Additionally, the CAFWA is compared with the bat algorithm (BA), standard particle swarm optimization 2011 (SPSO2011), harmony search (HS), and firefly algorithm (FA). The research results indicated that the highest performance presented itself when CAFWA is used with Circle maps." @default.
- W2498017147 created "2016-08-23" @default.
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- W2498017147 date "2016-01-01" @default.
- W2498017147 modified "2023-09-23" @default.
- W2498017147 title "Chaotic Adaptive Fireworks Algorithm" @default.
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- W2498017147 doi "https://doi.org/10.1007/978-3-319-41000-5_51" @default.
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