Researchers from the Centre for Advanced Laser Applications have developed a novel approach that combines multi-objective and multi-fidelity optimization, which could significantly speed up the optimization of complex systems like laser-plasma accelerators. The work, recently published in IOP Machine Learning: Science and Technology, introduces the innovative use of a trust metric to facilitate the joint optimization of multiple objectives and data sources.