Safe ASNG uses Walsh-function surrogate models to estimate Lipschitz constants of safety functions and projects new binary solutions onto safe regions around previously evaluated safe points to suppress unsafe evaluations during optimization.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.NE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces TTP with time windows, creates new benchmarks from existing TTP instances, and shows a new heuristic outperforms adapted TSP and TTP methods on many instances.
citing papers explorer
-
Adaptive Stochastic Natural Gradient Method for Safe Optimization on Binary Space
Safe ASNG uses Walsh-function surrogate models to estimate Lipschitz constants of safety functions and projects new binary solutions onto safe regions around previously evaluated safe points to suppress unsafe evaluations during optimization.
-
The Traveling Thief Problem with Time Windows: Benchmarks and Heuristics
Introduces TTP with time windows, creates new benchmarks from existing TTP instances, and shows a new heuristic outperforms adapted TSP and TTP methods on many instances.