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

• 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/34936/1/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
• Institution: Universiti Malaysia Pahang

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...