OPTIMISASI FUNGSI RASTRIGIN MENGGUNAKAN FLOWER POLLINATION ALGORITHM

  • Taufik Hidayat Jurusan Matematika, Universitas Jenderal Soedirman
  • Wuryatmo Ahmad Sidik Jurusan Matematika, Universitas Jenderal Soedirman
  • jajang Jajang Jurusan Matematika, Universitas Jenderal Soedirman

Abstract

The Rastrigin function is a multimodal function. It is difficult to find a global minimum of the function because it has many local minimums. So, we need an effective and efficient algorithm to find a solution to the global minimum of the function without being trapped by the local minimum. The flower pollination algorithm is a metaheuristic algorithm, it is expected to be capable of solving multimodal function optimization problems. In this study flower pollination algorithm is used to find the global minimum of the Rastrigin function of two variables with MATLAB. The Rastrigin function of two variables is used as objective function for the flower pollination algorithm. The parameters are divided into three configurations based on the difference amount of pollen gamets, the probability switch, and the search domain, with two different iterations 300 and 1500. In order, to get the best results each configuration is running for 10 times. The best results from the flower pollination algorithm are obtained from the first configuration and 1500 iterations

Published
2022-06-30
How to Cite
HIDAYAT, Taufik; SIDIK, Wuryatmo Ahmad; JAJANG, jajang. OPTIMISASI FUNGSI RASTRIGIN MENGGUNAKAN FLOWER POLLINATION ALGORITHM. Jurnal Ilmiah Matematika dan Pendidikan Matematika, [S.l.], v. 14, n. 1, p. 81-94, june 2022. ISSN 2550-0422. Available at: <http://jos.unsoed.ac.id/index.php/jmp/article/view/5819>. Date accessed: 06 dec. 2022. doi: https://doi.org/10.20884/1.jmp.2022.14.1.5819.

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