针对低碳柔性作业车间调度问题,提出一种基于新型优化机理的教学优化(TLBO)算法,以同时最小化总碳排放和平均延迟时间.利用3个串对问题的3个子问题单独编码,其主要步骤为教师的自学阶段和教学阶段,并运用多邻域搜索和全局搜索分别模拟教师的自学和教学活动.计算实验和结果分析表明,TLBO对于所研究的问题具有较强的搜索能力. To solve the problem of low carbon flexible job shop scheduling, a novel TLBO algorithm based on novel optimization mechanism is proposed to minimize the total carbon emission and the average delay time simultaneously. Three substrings of three strings are separately encoded, The main steps are teachers ’self-learning phase and teaching phase, and use multiple-neighborhood search and global search to simulate teachers’ self-learning and teaching activities respectively.The computational experiments and results show that TLBO has strong searching ability for the studied problems.