TC 1.13 is concerned with identifying, developing, and disseminating optimization techniques that enhance the performance of HVAC&R components, systems, and building systems that are not application or tool specific. The committee is focused on the fundamentals of optimization techniques including mathematical formulation, constraints handling, multi-objective optimization, approximation techniques, and robust optimization. These fundamentals are the foundation of data-driven, machine learning (ML), and artificial intelligence (AI) methods.