Software module clustering based on the fuzzy adaptive teaching learning based optimization algorithm

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Abstract

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.

Item Type:	Conference or Workshop Item (Lecture)
Uncontrolled Keywords:	Search-Based Software Engineering; Software Module Clustering; Adaptive Teaching Learning Based Optimization; Mamdani Fuzzy
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	23 Dec 2019 01:28
Last Modified:	23 Dec 2019 01:28
URI:	http://umpir.ump.edu.my/id/eprint/26247
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