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Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
IEEE

Multi-DAT: Dynamic Job Task Scheduling Method Based on Multi-Agent Reinforcement Learning

Abstract: The scheduling of aircraft support tasks requires efficient planning based on the available resources in each sup-port position. The many-to-many characteristics of tasks and the dynamic ...
Occupational Health & Safety

Rethinking OEHS Training: Moving Beyond Compliance to Reduce Risk

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...
IEEE

Satellite Task Planning Based on Graph Neural Networks and Deep Reinforcement Learning

Abstract: On the low computational efficiency and susceptibility to local optima that traditional heuristic satellite task planning algorithms face when dealing with large-scale satellite scheduling ...