随着社会不断的发展,我国科学技术水平逐渐提高,多目标优化是机器学习中重要组成部分,可以有效的将原有的学习模式创新、完善,并以启发式为主进行计算。模糊交叉算法的是多目标优化中重要组成部分,可以有效的将原有的多目标创新、完善并一个全新的形式展现出来,满足现代化社会发展的需求。基于此,本文对多目标优化问题的模糊交叉算法与收敛性进行了简单的研究。 With the continuous development of society, the level of science and technology in our country has gradually increased. Multi-objective optimization is an important part of machine learning, which can effectively innovate and improve the original learning mode and make heuristic calculations. Fuzzy cross algorithm is an important part of multi-objective optimization, which can effectively present the original multi-objective innovation, perfect and a new form to meet the needs of the development of modern society. Based on this, a simple research on the fuzzy cross algorithm and convergence of multi-objective optimization problems is carried out.