arXiv cs.NE
· Papers
LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms
arXiv:2607.08791v1 Announce Type: new Abstract: Designing effective multi-objective Bayesian optimization (MOBO) algorithms requires balancing many interdependent design choices whose optimal configuration is problem-dependent and typically demands deep expertise. We extend the LLaMEA framework to MOBO, using large lan