计算机工程与科学2013，Vol.35Issue(4)：120-124,5.DOI:10.3969/j.issn.1007-130X.2013.04.022
基于自适应t分布混合变异的人工鱼群算法
Artificial fish-school algorithm based on adaptive t distribution mixed mutation
摘要
Abstract
This paper proposed an artificial fish school algorithm (AFSA) based on adaptive t distribution mixed mutation, aiming at some defects of traditional AFSAs,such as low optimization precision and long running time. Gauss optimization adjustment mutation is executed on the excellent fish. Adaptive t distribution mutation is executed on the no excellent fish. In this algorithm, a new mutation operator following the t distribution is used to integrate the advantages of Gaussian and Cauchy mutation. Emulation test of four representative test functions, many application examples and a large number of test data show that this algorithm is more reliable and efficient. And this algorithm is better than ACM-AFSA algorithm and AGM-AFSA algorithm in the stability aspect and precision aspect.关键词
人工鱼群算法/自适应t分布变异/高斯最优调教变异Key words
artificial fish-school algorithm( AFSA)/ adaptive t distribution mutation/Gauss optimization adjustment mutation分类
信息技术与安全科学引用本文复制引用
王波..基于自适应t分布混合变异的人工鱼群算法[J].计算机工程与科学,2013,35(4):120-124,5.基金项目
国家自然科学基金资助项目(61100103) （61100103）
黑龙江省教育科学规划课题资助项目(JJC1211088) （JJC1211088）
齐齐哈尔大学教育研究重点资助项目(2012017) （2012017）
