The paper introduces the Amortized Efficiency Threshold (AET) to identify the deployment volume at which neural combinatorial optimization solvers become more energy-efficient overall than heuristic baselines after amortizing training costs.
Hybrid genetic search for the CVRP: Open-source implementation and SWAP* neighborhood.Computers & Operations Research, 140:105643, 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization
The paper introduces the Amortized Efficiency Threshold (AET) to identify the deployment volume at which neural combinatorial optimization solvers become more energy-efficient overall than heuristic baselines after amortizing training costs.