This study addresses the increasing interdependence of water, food, and energy systems by developing an integrated simulation–optimization framework for the Sefidroud irrigation and drainage network.

Large-scale sparse multi-objective optimization problems are prevalent in numerous real-world scenarios, such as neural network training, sparse regression, pattern mining and critical node detection, ...