A hybrid switching approach integrates Direct Search into model-based derivative-free optimization, with a convergence proof for single-objective cases and empirical gains on ML tasks and CUTEr benchmarks.
An augmented weighted tchebycheff method with adaptively chosen parameters for discrete bicriteria optimization problems.Com- puters & Operations Research, 39(12):2929–2943, 2012
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Enhancing Model Based Derivative Free Optimization using Direct Search
A hybrid switching approach integrates Direct Search into model-based derivative-free optimization, with a convergence proof for single-objective cases and empirical gains on ML tasks and CUTEr benchmarks.