NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...
Wanna see a trick? Give us any topic and we can tie it back to the economy. At Planet Money, we explore the forces that shape our lives and bring you along for the ride. Don't just understand the ...
Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
Abstract: Solving constrained multiobjective optimization problems (CMOPs) is a highly challenging work. Numerous complex nonlinear constraints significantly add to the complexity of CMOPs, resulting ...
Robot: Model and dynamics (whole-body or centroidal, see table below) Targets: Base velocity, and arm end-effector velocity/force OCP: Number of nodes and time discretization Gait: Type, period and ...
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