AI RESEARCH
Do We Really Need to Approach the Entire Pareto Front in Many-Objective Bayesian Optimisation?
arXiv CS.AI
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ArXi:2604.09417v1 Announce Type: new Many-objective optimisation, a subset of multi-objective optimisation, involves optimisation problems with than three objectives. As the number of objectives increases, the number of solutions needed to adequately represent the entire Pareto front typically grows substantially. This makes it challenging, if not infeasible, to design a search algorithm capable of effectively exploring the entire Pareto front.