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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34936/1/Fuzzy%20adaptive%20teaching%20learning-based%20optimization%20for%20solving%20unconstrained%20numerical%20optimization%20problems.pdf http://umpir.ump.edu.my/id/eprint/34936/ https://doi.org/10.1155/2022/2221762 https://doi.org/10.1155/2022/2221762 |
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