融合模拟退火的改进教与学优化算法

被引：4

作者：

岳振芳 ^{[1
]}

高岳林 ^{[2
]}

机构：

[1] 宁夏大学数学计算机学院

[2] 北方民族大学信息与系统科学研究所

来源：

河南师范大学学报(自然科学版) | 2016年 / 44卷 / 01期

关键词：

教与学优化算法; 模拟退火算法; 局部最优;

D O I：

10.16366/j.cnki.1000-2367.2016.01.027

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

针对教与学优化算法(TLBO)在解决复杂优化问题时易陷入局部最优的缺点,提出了一种融合模拟退火的改进教与学优化算法(SAMTLBO).该算法首先对学员阶段做了改进,在保持TLBO算法简单易实现的基础上,利用模拟退火方法增强了TLBO算法摆脱局部最优的能力,最后用4种算法对8个无约束优化函数仿真.数值实验表明,该算法无论是在收敛速度还是在寻优精度上均优于基本TLBO算法、ETLBO算法和DMTLBO算法.

引用

页码：149 / 154

页数：6

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