Nature

Hybrid stochastic and robust optimization of a hybrid system with fuel cell for building electrification using an improved arithmetic optimization algorithm

This paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational ...
Nature

Automatically optimizing heuristics for robust scale-free network design via large language models

Achieving scale-free robust networks is a challenging problem due to its NP-hard nature and the vast, complex, high-dimensional solution space. Current methods, from handcrafted feature extraction to ...
Semiconductor Engineering

Improving Robustness And Minimizing Over-Pessimism In The Face of Rising Design Variability

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 ...
iaea.org

Optimization of Safety Measures for Protection of Nuclear Installations Against External Hazards

This publication covers two main aspects of safety against external events including the site hazard assessment and the robustness of the installation against external hazards. This publication ...
Forbes

Four Key Differences Between Mathematical Optimization And Machine Learning

"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.