Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems

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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems

Teaching learning-based optimization is one of the widely accepted metaheuristic algorithms inspired by teaching and learning within classrooms. It has successfully addressed several real-world optimization problems, but it may still be trapped in local optima and may suffer from the problem of prem...

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Bibliographic Details
Main Authors:	Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan
Format:	Article
Language:	English
Published:	Hindawi Limited 2022
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/34936/ http://umpir.ump.edu.my/id/eprint/34936/1/Fuzzy%20adaptive%20teaching%20learning-based%20optimization%20for%20solving%20unconstrained%20numerical%20optimization%20problems.pdf

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