基于模糊自适应教与学优化算法的软件模块聚类
软件工程
2019-03-01 v1
摘要
尽管教与学优化算法(Teaching Learning based Optimization Algorithm, TLBO)在许多实际优化问题中表现出有竞争力的性能，但一直被批评对探索与开发的控制较差。针对这些问题，文献中已提出一种称为自适应模糊教与学优化(Adaptive Fuzzy Teaching Learning based Optimization, ATLBO)的TLBO新变体。本文描述了采用模糊自适应教与学优化(ATLBO)求解软件模块聚类问题。与原始教与学优化(TLBO)及其他模糊TLBO变体的对比研究表明，ATLBO因其基于当前搜索需求自适应选择搜索算子而具有更优性能。
引用
@article{arxiv.1902.11159,
title = {Software Module Clustering based on the Fuzzy Adaptive Teaching Learning based Optimization Algorithm},
author = {Kamal Z. Zamli and Fakhrud Din and Nazirah Ramli and Bestoun S. Ahmed},
journal= {arXiv preprint arXiv:1902.11159},
year = {2019}
}
备注
IIC 2018 Conference Accepted