Rancangan dan Analisis Model Algoritma Genetika Untuk Menyelesaikan Permasalahan Knapsack 2 Dimensi

  • Devan Bramantya Universitas Udayana
  • I Gede Santi Astawa
  • I Wayan Supriana
  • Luh Gede Astuti
  • Ngurah Agus Sanjaya ER
  • I Gusti Agung Gede Arya Kadyanan
##plugins.pubIds.doi.readerDisplayName## https://doi.org/10.24843/JLK.2022.v11.i02.p18

Abstrak

The knapsack problem is problem that is still often found in everyday life, one of which is the problem of selecting goods to be transported into containers for delivery of goods. This knapsack problem can be solved by using various optimization algorithms, one of which is the genetic algorithm. This study aims to design a genetic algorithm model to solve the 2-dimensional knapsack problem. 2-dimensional knapsack problem is a knapsack problem that has 2 constraints and in this study, the constraints used were weight and volume.. The evaluation results of the genetic algorithm will be compared with dynamic programming. From the evaluation results that have been carried out, it can be concluded that genetic algorithms can produce near-optimal results with faster computational times than dynamic programming.

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Diterbitkan
2022-07-16
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BRAMANTYA, Devan et al. Rancangan dan Analisis Model Algoritma Genetika Untuk Menyelesaikan Permasalahan Knapsack 2 Dimensi. JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 11, n. 2, p. 395-404, july 2022. ISSN 2654-5101. Tersedia pada: <https://ojs.unud.ac.id/index.php/jlk/article/view/89116>. Tanggal Akses: 15 dec. 2025 doi: https://doi.org/10.24843/JLK.2022.v11.i02.p18.

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