Abstract: Autonomous automobiles need a real-time, consistent pathfinding system to appropriately and efficiently negotiate changing surroundings. Sometimes, traditional approaches fall short in ...

Abstract: Bayesian optimization (BO) struggles with data scarcity and poor scalability in high-dimensional expensive many-objective optimization problems (HEMaOPs). To address this, we propose a novel ...