Hybrid Firefly Model for Feature Selection in Supervised Learning
Keywords:
Feature Selection, Firefly, Accuracy, Classification, Genetic Algorithm, CorrelationAbstract
The research idea presented in this article is to find the pertinent attributes of a dataset for supervisedlearning by using a Hybrid Firefly Model. The proposed approach is primarily based on swarmoptimization namely "Binary Firefly algorithm" (FFA) and evolutionary Genetic algorithm . FFA , amodern meta-heuristic swarm optimization algorithm is collaborated with evolutionary operations for a better exploration of search space
References
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