The research team (NEAL) at the University of South China has proposed an innovative radiation-shielding optimization method based on a reference-point-selection strategy. This method has been successfully applied to the optimization of radiation-shielding designs for nuclear reactors. By integrating genetic algorithms with artificial bee colony algorithms, the method substantially improves the lightweight, compact, and radiation protection performance of shielding structures, thereby providing vital technical support for the design of nuclear reactors.The research team (NEAL) at the University of South China has proposed an innovative radiation-shielding optimization method based on a reference-point-selection strategy. This method has been successfully applied to the optimization of radiation-shielding designs for nuclear reactors. By integrating genetic algorithms with artificial bee colony algorithms, the method substantially improves the lightweight, compact, and radiation protection performance of shielding structures, thereby providing vital technical support for the design of nuclear reactors.