Genetic Algorithm (GA) forms a subset of evolutionary computing, rapidly growing area of Artificial Intelligence (A.I.). Some variants of GA are binary GA, real GA, messy GA, micro GA, saw tooth GA, differential evolution GA. This research article presents a real coded GA for predicting enrollments of University of Alabama. Data of Alabama University is a fuzzy time series. Here, fuzzy logic is used to predict enrollments of Alabama University and genetic algorithm optimizes fuzzy intervals. Results are compared to other eminent author works and found satisfactory, and states that real coded GA are fast and accurate.
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Research Article| October 19 2017
Real coded genetic algorithm for fuzzy time series prediction
Dinesh C. S. Bisht;
AIP Conf. Proc. 1897, 020021 (2017)
Shilpa Jain, Dinesh C. S. Bisht, Phool Singh, Prakash C. Mathpal; Real coded genetic algorithm for fuzzy time series prediction. AIP Conf. Proc. 19 October 2017; 1897 (1): 020021. https://doi.org/10.1063/1.5008700
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