Software Module Clustering Based on the Fuzzy Adaptive Teaching Learning Based Optimization Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00334979" target="_blank" >RIV/68407700:21230/19:00334979 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-981-13-6031-2_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-13-6031-2_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-13-6031-2_3" target="_blank" >10.1007/978-981-13-6031-2_3</a>
Alternative languages
Result language
angličtina
Original language name
Software Module Clustering Based on the Fuzzy Adaptive Teaching Learning Based Optimization Algorithm
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Intelligent and Interactive Computing
ISBN
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ISSN
2367-3370
e-ISSN
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Number of pages
11
Pages from-to
167-177
Publisher name
Springer Nature Singapore Pte Ltd.
Place of publication
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Event location
MELAKA
Event date
Aug 8, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000493384900015