Introduces the Amortized Efficiency Threshold (AET) to identify the deployment volume at which neural combinatorial optimization solvers achieve lower total energy use than heuristic baselines after accounting for training costs.
Lee, Gu-Yeon Wei, David Brooks, and Carole-Jean Wu
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An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization
Introduces the Amortized Efficiency Threshold (AET) to identify the deployment volume at which neural combinatorial optimization solvers achieve lower total energy use than heuristic baselines after accounting for training costs.