Time series prediction of economic indicators in Indonesia using differential dynamic optimized by genetic algorithm

@article{Saadah2014TimeSP,
  title={Time series prediction of economic indicators in Indonesia using differential dynamic optimized by genetic algorithm},
  author={Siti Sa'adah and Gia S. Wulandari},
  journal={2014 2nd International Conference on Information and Communication Technology (ICoICT)},
  year={2014},
  pages={335-339}
}
Prediction time series of economic indicator optimized by Algorithm Genetic (AG) is able in getting best individual with the accuracy around 97%. The parameter of AG are maximum population is 100; Ra are 5 and 10, while Rb are -5 and -10; probability mutation (Pmut) is 0.3; and probability crossover (Pc) is 0.9. It was caused by AG had longer opportunity in fitting data using scenario data from 1961 until 2012 than other scenario. Besides, it came from using differential dynamic that can solve… CONTINUE READING

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