Enhancing performance of multi-pressure evaporation organic Rankine Cycle/Supercritical Carbon Dioxide Brayton cycle through genetic algorithm and Machine learning optimization

•• Two novel multi-pressure evaporation Brayton combined cycles are proposed.•• Detailed modeling is conducted based on a one-dimensional radial turbine.•• Machine learning is employed to streamline the cycle simulations and improve speed.•• Genetic algorithm is utilized for multi-objective cycle optimization.•• Detailed analysis of the proposed cycles, based on thermal and exergy, is conducted.