Parallel Approach to Derivative-Free Optimization: Implementing the DONE Algorithm on a GPU

Researchers at Delft University of Technology have recently developed an algorithm for optimizing noisy, expensive and possibly nonconvex objective functions for which no derivatives are available. The data-based online nonlinear extremum-seeker (DONE) was originally developed for sensorless wavefront aberration correction in optical coherence...

Suburban 2.0: Differentiated houses for the masses

Population growth and immigration increase the demand for mass housing developments all over the world. These developments are widely criticized for being mono-functional, mono-typological, and mono-cultural. This project is a design method for a new kind of mass housing. All design rules are reformulated as algorithms, that interact with each...