Recently, a research team at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences (CAS) proposed a novel model optimization algorithm named External Calibration-Assisted ...
In this paper we propose a new definition of robustness for uncertain vector-valued optimization problems equipped with a variable domination structure, derive scalarization results and present ...
Bonham, N., Kasprzyk, J. and Zagona, E. (2022). "post-MORDM: Mapping Policies to Synthesize Optimization and Robustness Results for Decision-maker Compromise ...
Part 1 of this blog explored the problems facing designers working on Systems-on-a-Chip (SoCs) targeting energy-efficient design, and how Synopsys’ PrimeShield design robustness solution can help ...
Overlay process control is a critical aspect of integrated circuit manufacturing. Advanced DRAM manufacturing overlay error budget approaches the sub-2nm threshold ...
"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.
Developers save money and time while accessing expertise. Accurate and timely analytics are essential to successful development and manufacturing of biopharmaceutical products, whether they are ...