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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
I Nyoman Prayana Trisna
Information Technology Study Program, Udayana University, Bali
Computer Science & IT Control & Systems Engineering

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Flower Pollination Inspired Algorithm on Exchange Rates Prediction Case I Nyoman Prayana Trisna; Afiahayati Afiahayati; Muhammad Auzan
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 3 (2023): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.84223

Abstract

The flower pollination algorithm is a bio-inspired system that adapts a similar process to a genetic algorithm that aims for optimization problems. In this research, we examine the utilization of the flower pollination algorithm in linear regression for currency exchange cases. Each solution represents the regression coefficients. The population size for the solutions and the switching probability between global pollination and local pollination is experimented with in this research. The result shows that the final solution is obtained using a larger population and higher switch probability. Furthermore, our research finds that the increasing population size leads to considerable running time, where the probability of global pollination just slightly increases the running time
Co-Authors Afiahayati Afiahayati Muhammad Auzan