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01468nam a2200205Ia 4500 |
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10.1007-978-981-13-6031-2_3 |
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220223s2019 CNT 000 0 und d |
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|a Software Module Clustering Based on the Fuzzy Adaptive Teaching Learning Based Optimization Algorithm
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|c 2019
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|a Adaptive teaching learning based optimization
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|a Mamdani fuzzy
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|a Search-based software engineering
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|a Software module clustering
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|a STRATEGY
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|z View Fulltext in Publisher
|u https://doi.org/10.1007/978-981-13-6031-2_3
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|a 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.
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|a Ahmed, BS
|e author
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|a Din, F
|e author
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|a Ramli, N
|e author
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|a Zamli, KZ
|e author
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