Abstract: We provide a genetic algorithm-based aim point design and optimization control strategy for the solar receiver,which is one of the most important equipment of the solar tower thermal power plant. With this control strategy,the problem of aim point dynamic scheduling can be transformed to the problem of genetic algorithm optimization. The modeling solution can not only ensure the working life of the solar receiver,but also optimize the uniformity of energy distribution on the panel of the receiver,at the same time,the truncation efficiency can also be improved while the energy flux density within the requirement of the solar receiver material. We proposed a design method of the solar receiver parameters with the overall objective of optimization of truncation efficiency and solar receiver efficiency. The method is successfully applied to the design of the solar receiver parameters of a 50 MW solar tower molten salt power plant. The optimum illuminated area of the molten salt receiver is 580 m2 with 16.78 m in height and 11 m in diameter. Compared to normal receiver without the optimization,the overall efficiency can be increased by 1.78% with the same receiver illuminated area or2.15% with the same diameter.