Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization

arXiv:2406.08799v1 Announce Type: new
Abstract: We consider the problem of multi-objective optimization (MOO) of expensive black-box functions with the goal of discovering high-quality and diverse Pareto fronts where we are allowed to evaluate a batch of inputs. This problem arises in many real-world applications including penicillin production where diversity of solutions is critical. We solve this problem in the framework of Bayesian optimization (BO) and propose a novel approach referred to as Pareto front-Diverse Batch Multi-Objective BO (PDBO). PDBO tackles …

abstract applications arxiv bayesian box cs.ai cs.lg diverse diversity front functions inputs multi-objective optimization pareto problem production quality solutions type world