Database research record2022·Global
Dynamic domain transformation resource scheduling approach: water irrigation scheduling for urban farming
Megat Nabil Irwan Megat Amerudin, Siti Khatijah Nor Abdul Rahim, Nasiroh Omar, Mohd Suffian Sulaiman, Amir Hamzah Jaafar, Raseeda Hamzah
IAES International Journal of Artificial Intelligence
Urban Farm DB summary
This study employed the Domain Transformation Approach (DTA) to solve water irrigation scheduling for urban farming, aiming to handle dynamic uncertainties and avoid non-optimal schedules. The proposed model was tested on three different datasets. Results showed that costs were higher in all instances without utilizing the dynamic DTA, indicating that DTA produced higher quality solutions and is a more effective way of scheduling resources with ad-hoc changes.