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 ...
Abstract: Data-driven evolutionary algorithms (DDEAs) have achieved significant success in numerous real-world optimization problems, where exact objective functions and constraint functions do not ...
Abstract: The rapid growth of latency-sensitive applications in edge computing requires efficient strategies for service placement and migration. However, existing approaches often prioritize a single ...
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