As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
Editor's Note: This article first appeared in the September 2024 issue of Supply Chain Management Review. For more content like this, click here to subscribe to either the print or digital edition of ...
At-a-Glance: FPSO production efficiency is monitored by combining real-time mass/energy balances, loss accounting, and equipment performance KPIs tied to short-interval control. Core tools: validated ...
Abstract: HCMOP are widespread in practical engineering such as vehicle routing problem and shop scheduling problem etc. The problems introduced above refer to optimization problems with complex ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Drug discovery is an inherently complex and resource-intensive process, demanding ...
Abstract: This letter presents a novel stochastic gradient descent algorithm for constrained optimization. The proposed algorithm randomly samples constraints and components of the finite sum ...