📅 30 June 2024
DOI: 10.62951/ijsme.v1i2.59
Optimization Algorithms for Solving Non-linear Problems in Natural Resource Management
International Journal of Science and Mathematics Education
Asosiasi Riset Ilmu Matematika dan Sains Indonesia (ARIMSI)
📄 Abstract
Natural resource management involves complex decision-making processes that often result in non-linear optimization problems. This study explores the application of genetic algorithms (GA) and particle swarm optimization (PSO) to manage resources like water and forest reserves more efficiently. We compare the effectiveness of these algorithms in achieving sustainable utilization while minimizing environmental impact. The results show that GA outperforms PSO in forest management scenarios, while PSO is more suitable for water resource distribution.
🔖 Keywords
#Optimization; genetic algorithm; particle swarm optimization; non-linear problems; natural resource management
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 June 2024
Volume / Nomor / Tahun
Volume 1, Nomor 2, Tahun 2024
📝 HOW TO CITE
Muhammad syahrizal ibnu jihad; Yuliana Dwi Hapsari; Satrio tegar wicaksono, "Optimization Algorithms for Solving Non-linear Problems in Natural Resource Management," International Journal of Science and Mathematics Education, vol. 1, no. 2, Jun. 2024.
ACM
ACS
APA
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
0
Sitasi
Cek Google Scholar