Optimal Water Allocation Using a Multi-objective Evolutionary Algorithm
||11 February 2019
||1:00 PM - 2:00 PM
||Toowoomba - Q303, or via Zoom
||For more information, please contact the Graduate Research School.
|Save to calendar:
The research engages with the optimum allocation of water in the agricultural sector of Bangladesh. We model the problem using multi-objective constrained optimization problem. The objectives in this problem are to maximize net return, minimize variable cost and minimize total supplementary groundwater pumping requirements. A non-dominating sorting genetic algorithm (NSGA-II) is used to solve the problem in this research to find the optimum result. This research will propose ways to increase the agricultural production with the increasing needs of the population as well as to fulfill the need for a sound economy of the country as a whole.