2018
DOI: 10.1007/s11277-018-5309-1
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An Improved Firefly Algorithm for Feature Selection in Classification

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Cited by 32 publications
(9 citation statements)
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“…Moreover, it is easier to build and requires fewer parameters [36]. • Firefly Algorithm (FA) uses swarm intelligence and upgrades based on a metaheuristic search [38]. Its major strength is solving complex optimization problems.…”
Section: Figure 3 Wrapper Methods Flowchartmentioning
confidence: 99%
“…Moreover, it is easier to build and requires fewer parameters [36]. • Firefly Algorithm (FA) uses swarm intelligence and upgrades based on a metaheuristic search [38]. Its major strength is solving complex optimization problems.…”
Section: Figure 3 Wrapper Methods Flowchartmentioning
confidence: 99%
“…Twelve datasets has been considered for evaluating the performance of the algorithm. Xu et al [154] combined binary FFA with opposition based learning algorithm in solving the feature selection problem and applied to ten datasets. For network intrusion detection, FFA algorithm has been used with C4.5 and Bayesian networks classifier and utilized for KDD CUP 99 datasets [155].…”
Section: B Swarm Intelligence Based Algorithmsmentioning
confidence: 99%
“…The Levy distribution was applied in FA instead of traditional uniform distribution to strengthen the exploration in global space in [12] and [13]. Xu et al [14] combined the binary firefly algorithm with opposition-based learning to select features in classification.…”
Section: Introductionmentioning
confidence: 99%