一种基于反思机制的教与学优化算法  

Improved TLBO algorithm based on reflection mechanism

作　　者：童楠[1] 符强[1,2] 钟才明[1,2] Tong Nan;Fu Qiang;Zhong Caiming(College of Science ＆ Technology,Ningbo University,Ningbo Zhejiang 315212,China;Faculty of Electrical Engineering ＆ Computer Sci-ence,Ningbo University,Ningbo Zhejiang 315211,China)

机构地区：[1]宁波大学科学技术学院,浙江宁波315212 [2]宁波大学信息科学与工程学院,浙江宁波315211

出　　处：《计算机应用研究》2018年第12期3678-3681,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(61675108);浙江省教育厅科研资助项目(Y201326770);宁波市自然科学基金资助项目(2014A610069)

摘　　要：针对教与学优化(teaching-learning-based optimization,TLBO)算法中存在的易陷入局部最优以及收敛速度较慢等问题,提出了基于反思机制的TLBO算法。为提高算法的全局搜索和局部收敛能力,在教学过程中利用教师反思行为来增强教师教学水平,进一步提高学生知识技能。同时学生实现自我反思,达到同步提高的目的。利用基准测试函数对算法进行性能测试,实验结果表明,改进后的TLBO算法具有更好的寻优性能。This paper proposed an improved TLBO algorithm based on reflection mechanism for the problems such as easy to fall into local optimization and slow convergence in teaching-learning-based optimization（ TLBO） algorithm. In order to increase the global search speed and local convergence accuracy of the algorithm,teacher carried out reflection behavior to enhance the teaching level in the teaching process,and improved the students＇ skills. At the same time,students realized the self-reflection and achieved simultaneous improvement. The experimental results show that the improved TLBO algorithm has better performance.

关 键 词：教与学优化算法 反思行为 群体智能 函数优化 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]