📅 30 April 2024
DOI: 10.62951/ijamc.v1i2.72
Optimization of Nonlinear Systems Using Genetic Algorithms: A Case Study in Resource Allocation
International Journal of Applied Mathematics and Computing
Asosiasi Riset Ilmu Matematika dan Sains Indonesia (ARIMSI)
📄 Abstract
This paper explores the use of genetic algorithms (GAs) for optimizing nonlinear systems in resource allocation. By simulating various allocation scenarios, we demonstrate the efficiency of GAs in finding near-optimal solutions in complex environments. The study provides a comparison of GA performance against traditional optimization methods and identifies scenarios where GAs outperform. The results emphasize the utility of GAs in real-world applications, especially when conventional approaches struggle with large solution spaces.
🔖 Keywords
#Genetic algorithms; Nonlinear optimization; Resource allocation; Heuristic methods
#Computational efficiency
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 April 2024
Volume / Nomor / Tahun
Volume 1, Nomor 2, Tahun 2024
📝 HOW TO CITE
Sarah Elhassan; Mohammed Idris; Hiba Abdallah, "Optimization of Nonlinear Systems Using Genetic Algorithms: A Case Study in Resource Allocation," International Journal of Applied Mathematics and Computing, vol. 1, no. 2, Apr. 2024.
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