OPM is a small collection of CUTEst unconstrained and bound-constrained nonlinear optimization problems, which can be used in Matlab for testing optimization algorithms directly (i.e. without ...

Abstract: Utilizing various auxiliary optimization problems (AOPs) to help the optimization for constrained multiobjective problems (CMOPs) has recently drawn substantial attention. However, two key ...

Abstract: An increasing number of machine learning algorithms are being applied to multi-objective optimization problems (MOPs), yielding promising results. However, many of these algorithms suffer ...

A team of physicists led by Jared Fuchs at the University of Alabama in Huntsville has produced a peer-reviewed warp drive solution that works within known physics, using only positive energy and ...

Leeron is a New York-based writer who specializes in covering technology for small and mid-sized businesses. Her work has been featured in publications including Bankrate, Quartz, the Village Voice, ...