Practical problems often involve complex optimization with both continuous and discrete variables. While current methods focus mainly on continuous variables, there is limited research on optimizing discrete variables, especially in multi-objective scenarios. The article reviews existing approaches to discrete multi-objective optimization and highlights future directions in this field.