An LLM-generated, per-instance bias vector improves a BRKGA on the NP-hard Longest Run Subsequence problem, with statistically significant gains on 15 of 35 instance groups, concentrated on complex instances.
STNWeb: A new visualization tool for analyzing op- timization algorithms
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.NE 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm
An LLM-generated, per-instance bias vector improves a BRKGA on the NP-hard Longest Run Subsequence problem, with statistically significant gains on 15 of 35 instance groups, concentrated on complex instances.