摘要
教与学优化算法是一种模拟课堂教学与学习过程的新型启发式群体智能优化算法,因其参数少、易实现、收敛快等优点,近年来被广泛应用于众多科学和工程优化领域。参考现实中的课堂教学改革措施,将教师的自增强学习机制、学生的自主学习/分组学习策略、师生间的反馈交流、多教师并行教学的综合培养等改进策略融入教与学优化算法,使得改进教与学优化算法在复杂优化问题中获得更好的表现。此外,讨论了课程思政、课程考核、教学资源等引入教与学优化算法的可能性及其未来的发展方向。
Teaching-learning-based optimization(TLBO)algorithm is a novel heuristic swarm intelligence opti⁃mization algorithm that simulates the classroom teaching and learning process.Because of its advantages of few parameters,easy implementation and rapid convergence,it has been widely used in many scientific and engineer⁃ing optimization fields.Referring to the real classroom teaching reformations,the improved strategies such as teachers’ability improvement,students’self-learning and group learning,teacher-student feedback and multi�teacher comprehensive training are integrated into TLBO algorithm,so that a series of improved TLBO algorithms can achieve better performance in complex optimization problems.In addition,the future development of TLBO is also discussed,such as the construction of ideological and political education in specialized courses,curriculum assessment reformation,introduction of diversified teaching resources.
作者
宋述芳
张伟伟
王致
SONG Shufang;ZHANG Weiwei;WANG Zhi
出处
《科教文汇》
2023年第5期1-4,共4页
Journal of Science and Education
关键词
课堂教学
教与学优化算法
智能优化算法
classroom teaching and learning process
teaching-learning-based optimization algorithm
intelli⁃gent optimization algorithm
