Missed the live session? Watch the replay to explore why building trust in optimisation algorithms has never been more important. From heuristics and exact solvers to model design and parameter tuning, modern decision-making relies heavily on algorithmic choices—but how can we be confident they perform reliably in practice?

This session introduces Instance Space Analysis (ISA), a rigorous methodology for stress-testing algorithms. ISA helps uncover where algorithms perform well—and where they don’t—by evaluating them across a wide range of unbiased, diverse problem instances.

You’ll also see how ISA is being used in practice through an accessible online tool, adopted by researchers worldwide and industry teams aiming to reduce risk when deploying critical algorithms.

Through real-world case studies in areas like timetabling and bin packing, the webinar demonstrates how ISA can generate meaningful insights into the performance of heuristics, MIP models, and solvers—helping you better understand algorithm behaviour under different conditions.