Over the last decade, the field of nanophotonics (or nano-optics) has been developing rapidly, mainly driven by plasmonics, because noble metal nanoparticles allow plasmon resonances to be spectrally ...

This research explores how user-defined constraints affect the efficiency and effectiveness of multi-objective evolutionary algorithm (MOEA) optimization in water resources. Constraints in MOEA ...

Iryna Yevseyeva is an Associate Professor in Computer Science at the Faculty of Computing, Engineering and Media, School of Computer Science and Informatics. She is Subject Group Leader for Cyber ...

Resident data scientist Dr. James McCaffrey of Microsoft Research turns his attention to evolutionary optimization, using a full code download, screenshots and graphics to explain this machine ...

Evolutionary optimization is a technique that can be used to train many types of machine learning models. Evolutionary optimization loosely models the biological processes of natural selection, ...