摘要：Teaching-Learning-Based-Optimization is an optimization algorithm that simulates the teaching process. In the standard Teaching-Learning-Based-Optimization there are some problems such as precocity and low optimization accuracy. Through daily discovery, students’ learning effect is better when there are exercise lessons than when there are no exercise lessons. Students who study toward teacher on one’s own learn better than students who do not. Therefore, this paper proposes a teaching mode that combines exercise lessons and one-to-one to improve the Teaching-Learning-Based-Optimization.
