由于珍贵木材日益稀缺以及过度开发导致的严重环境问题，有必要通过对普通木材进行染色来模仿珍贵木材的外观。在本研究中采用计算机辅助染色技术，实现对普通木材的高精度染色，从而创造出外观类似珍贵木材的替代品，减少人们对它们的依赖。首先，基于基因表达编程（gene expression programming, GEP）的概念，提出了一种多表达式编程（multi-expression programming, MEP）算法来预测染料配比，考虑到多种染料之间的复杂相互作用，采用多基因表达，MEP算法能够处理这些复杂的多种染料之间的相互作用，从而得到更直观的函数表达式。为了提高MEP的函数挖掘准确性，自适应调整突变和重组算子的概率，并使用并行编程来增强函数挖掘效率。与基因表达编程的结果相比，MEP深入挖掘了函数关系，并在颜色预测中获得了0.113的相对偏差结果。

Due to the increasing scarcity of precious woods and the severe environmental issues caused by overexploitation, it is necessary to mimic the appearance of precious woods by dyeing ordinary wood. Computer-assisted dyeing technology was utilized to achieve high-precision dyeing of ordinary wood, thus creating substitutes that resemble precious woods and reducing dependence on them. Initially, based on the concept of gene expression programming (GEP), a multi-expression programming (MEP) algorithm was proposed to predict dye ratios. Considering the complex interactions among various dyes, multi-gene expression was employed. The MEP algorithm can handle these complex interactions between multiple dyes, resulting in more intuitive functional expressions. To enhance the function mining accuracy of MEP, the probabilities of mutation and recombination operators ware adaptively adjusted, and parallel programming was employed to boost function mining efficiency. Compared to gene expression programming results, MEP delves deeper into functional relationships and achieves a relative deviation of 0.113 in color prediction.