This is the result of my master thesis on Multi-Objective Optimization. This repository is more focused towards Pareto-based optimization rather than SIngle-Objective optimization with preference articulation. We focus on time-consuming optimization routines and, as a result we focus on model-based methods to allow for faster convergence times. This is relevant for Architectural Design Optimization, which depends on time-intensive simulations (e.g. minutes, hours or even days to complete a single simulation).
[Closes #34] We had a bug that had to do with the penalty computation.
It was fixed by adding a sign variable that basically maps whether the
penalty is positive or negative (depending on the constraint operator).
[Closes #34] We had a bug that had to do with the penalty computation. It was fixed by adding a sign variable that basically maps whether the penalty is positive or negative (depending on the constraint operator).