Tea Tušar, an AI4Science researcher and senior scientist at the Department of Intelligent Systems at the Jožef Stefan Institute, will deliver an invited talk as part of the OPTIMA seminar series organised by Monash University and the University of Melbourne, Australia.

Time and date: 15 April 2026 16:00 (AEST)

Title: COBI: A Generator of Constrained Bi-Objective Test Problems with Known Optima

Summary: COBI is a new generator of scalable benchmark problems for COnstrained BI-iobjective optimization, designed to balance realistic properties with analytical tractability. It produces problems that capture key challenges of real-world scenarios, such as multimodality, ill-conditioning, and disconnected feasible regions, while still providing known Pareto sets and fronts. The construction of COBI problems is based on strictly convex-quadratic objectives and their multipeak extensions, combined with linear, convex-quadratic, or multipeak constraints, enabling analytical characterization and efficient computation of the Pareto set. In addition to introducing COBI problems and their properties, we will examine six strategies for approximating their Pareto sets, comparing them in terms of quality indicators and computational cost, and highlighting the trade-offs between accuracy and efficiency.

The seminar is Zoom only: https://unimelb.zoom.us/s/87315575255?pwd=NUprdjRSSkdIZm4xSHZZeS84eWVvUT09