Software Module Clustering Based on the Fuzzy Adaptive Teaching Learning Based Optimization Algorithm
作者： Kamal Z. Zamli , Fakhrud Din , Nazirah Ramli , Bestoun S. Ahmed
DOI: 10.1007/978-981-13-6031-2_3
关键词:
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 (ATLBO) developed the literature. This paper describes adoption software module clustering problem. Comparative studies with original other demonstrate that ATLBO gives superior performance owing to its adaptive selection search operators need current search.
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