Pengaruh Pengaturan Individu Proses Crossover Dan Mutasi Algoritme Genetika Pada Kasus Travelling Salesman Problem

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Sean Coonery Sumarta

Abstract

One disadvantage in the genetic algorithm is the number of iterations in the search for the
optimum solution. This caused long computation time. This study aimed to obtain the best method
to determine the individual parent crossover operator and mutation Genetic Algorithm in the case
of the Traveling Salesman Problem (TSP). the results obtained in this research with a set of
individuals in the process of crossover and mutation can reduce the number of iterations. So as
computing time can be even faster

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How to Cite
Sumarta, S. C. (2016). Pengaruh Pengaturan Individu Proses Crossover Dan Mutasi Algoritme Genetika Pada Kasus Travelling Salesman Problem. TEMATIKA: Jurnal Penelitian Teknik Informatika Dan Sistem Informasi, 4(2), 83–89. Retrieved from https://tematika.uajm.ac.id/index.php/tematika/article/view/72
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