AdaEvolve
Hierarchical adaptive search: G-signal exploration intensity, UCB island allocation, and LLM meta-guidance on stagnation.
name: adaevolve
display_name: AdaEvolve
organization: "SkyDiscover"
type: test_time_search
summary: "Hierarchical adaptive search: G-signal exploration intensity, UCB island allocation, and LLM meta-guidance on stagnation."
source: "AdaEvolve: Adaptive LLM-Driven Zeroth-Order Optimization (UC Berkeley); reference implementation in SkyDiscover"
tags: [adaptive, ucb, islands, quality-diversity, meta-guidance, diff-evolution]
license: Apache-2.0
controller: galapagos.scaffolds.adaevolve.scaffold.AdaEvolveScaffold
components:
population: {kind: qd_island_archipelago}
selection_policy: {kind: adaptive_intensity_ucb}
prompt_builder: {kind: adaevolve_template}
proposer: {kind: diff}
evaluator: {kind: task}
memory: {kind: paradigm_tactics}
model:
default: "openai/gpt-5.5"
host: openrouter