Associate Professor
Institute of Mathematics, University of the Philippines Diliman
Controlling biological systems or processes naturally involves optimizing a set of objectives while satisfying a range of constraints. Such problems can be formulated as multi-objective optimization problems, resulting in a set of multiple trade-off solutions. The trade-off property of these solutions is particularly valuable in multicriteria decision analysis, enabling a decision-maker to choose the most suitable solution for a given scenario among the optimal solutions. We demonstrate the application of the multi-objective optimization approach in infectious disease models to suggest the optimal selection of vaccination sites, the optimal timing of easing interventions and bed capacity, and the optimal intensity of interventions while considering economic costs.