The RL model delivers almost the same cost and efficiency outcomes as the MILP optimizer, but with dramatically lower ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

The vehicle trajectories. a The Awesome GINS Dataset which was collected in an open-sky industrial area in Wuhan. b The second dataset which was c ...

Matching algorithms to application characteristics Within any application category or set of characteristics there are many optimization algorithms that are equivalently effective. Criteria for ...

In a market where billions are traded every day, predictive accuracy is paramount. By combining adaptive decomposition, deep ...

Computer programmers have developed a new 'cutting-plane' algorithm, a general-purpose algorithm for solving optimization problems. The algorithm improves on the running time of its most efficient ...

Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

My algorithm couldn’t pave the way to a perfect life if I didn’t have a clear vision of what that life ought to look like. Articulating what “optimal” means is also difficult when you ...