Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...
The CMO role is evolving, blending data science with AI's unpredictability. Niva Bupa's Nimish Agrawal highlights the shift ...
Abstract: Utilizing various auxiliary optimization problems (AOPs) to help the optimization for constrained multiobjective problems (CMOPs) has recently drawn substantial attention. However, two key ...
Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, ...
Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...