Software Module Clustering Based on the Fuzzy Adaptive Teaching Learning Based Optimization Algorithm

被引：0

作者：

Zamli, Kamal Z. ^{[1
]}

Din, Fakhrud ^{[1
,2
]}

Ramli, Nazirah ^{[3
]}

Ahmed, Bestoun S. ^{[4
]}

机构：

[1] Univ Malaysia Pahang, Fac Comp Syst & Software Engn, Kuantan 26300, Pahang, Malaysia

[2] Univ Malakand, Fac Informat Technol, Dept Comp Sci & IT, Lower Dir, Kpk, Pakistan

[3] Univ Teknol MARA Pahang, Fac Comp & Math Sci, Dept Math & Stat, Jengka 2640, Pahang, Malaysia

[4] Czech Tech Univ, Fac Elect Engn, Dept Comp Sci, Prague, Czech Republic

来源：

INTELLIGENT AND INTERACTIVE COMPUTING | 2019年 / 67卷

关键词：

Search-based software engineering; Software module clustering; Adaptive teaching learning based optimization; Mamdani fuzzy; STRATEGY;

D O I：

10.1007/978-981-13-6031-2_3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Although showing competitive performances in many real-world optimization problems, Teaching Learning based Optimization Algorithm (TLBO) has been criticized for having poor control on exploration and exploitation. Addressing these issues, a new variant of TLBO called Adaptive Fuzzy Teaching Learning based Optimization (ATLBO) has been developed in the literature. This paper describes the adoption of Fuzzy Adaptive Fuzzy Teaching Learning based Optimization (ATLBO) for software module clustering problem. Comparative studies with the original Teaching Learning based Optimization (TLBO) and other Fuzzy TLBO variant demonstrate that ATLBO gives superior performance owing to its adaptive selection of search operators based on the need of the current search.

引用

页码：167 / 177

页数：11

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