ARES-LSHADE wins 510 of 744 per-function comparisons and reaches machine precision on 18 of 24 GNBG functions using an LLM-driven autoresearch loop to create a scout-augmented mutation and memetic polish phase.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
ARES-LSHADE: Autoresearch-Enhanced LSHADE with Memetic Polish for the GNBG Benchmark
ARES-LSHADE wins 510 of 744 per-function comparisons and reaches machine precision on 18 of 24 GNBG functions using an LLM-driven autoresearch loop to create a scout-augmented mutation and memetic polish phase.