SciRepID

Belum punya Author-ID ?

Judul	Sitasi	Tahun
Optimization of Nonlinear Systems Using Genetic Algorithms: A Case Study in Resource Allocation (Sarah Elhassan, Mohammed Idris, Hiba Abdallah) DOI : 10.62951/ijamc.v1i2.72 - Volume: 1, Issue: 2, Sitasi : 0 30-Apr-2024 \| Abstrak \| PDF File \| Resource \| Last.13-Aug-2025 Abstrak: 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.	0	2024