选取散热器的散热量、体积和压降作为优化目标,采用线性加权法建立了散热器的多目标优化模型。在给定的散热器原始数据和性能要求条件下,对散热器芯体的外形尺寸和翅片参数进行了优化。介绍了遗传优化算法的执行步骤和流程,在此基础上开发了优化程序。结果表明,优化后散热器的散热量明显增大,散热器芯体的体积和压降也有不同程度的减小。 Select the heat sink radiator, volume and pressure drop as the optimization goal, the use of linear weighted method to establish a radiator multi-objective optimization model. The heat sink core dimensions and fin parameters are optimized for the given heatsink raw data and performance requirements. The implementation steps and flow of genetic algorithm are introduced, and the optimization program is developed. The results show that the heat dissipation of the radiator increases obviously, and the volume and pressure drop of the radiator core decrease to some extent.