Title: A brief introduction to Black-Box Optimisation

Speaker: Dr. Mario Andrés Muñoz | OPTIMA Research Fellow

Black-box optimisation is a technique for finding solutions to complex problems. In it, we assume that the only reliable information available to an algorithm is the system’s inputs and outputs. Black-box optimisation is employed in various contexts, such as model fitting, design exploration, and resource allocation. In this short workshop, we will introduce essential concepts for applying black-box optimisation techniques. First, we will discuss the issue of solution representation, response selection and model-assistance. We then explain how these essential steps allow us to introduce or manage domain knowledge to the algorithm. Finally, we will explore a state-of-the-art algorithm for real-valued input variables called the Covariance Matrix Adaptation Evolutionary Strategy.

Book here
WED 28 AUG 2024 10:30-12:30 (AEST)
Lunch provided