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Advances in teaching-learning-based optimization algorithm: A comprehensive survey(ICIC2022)
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DOI：10.1016/j.neucom.2023.126898.png)
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Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-learning process in a classroom, is one of population-based heuristic stochastic swarm intelligent algorithms. TLBO executes through similar iterative evolution processes as utilized by a standard evolutionary algorithm. Unlike traditional evolutionary algorithms and swarm intelligent algorithms, the iterative computation process of teaching-learning-based optimization is divided into two phases and each phase executes iterative learning operation. In this paper, we present a comprehensive survey on the recent advances in TLBO. A review of the current literature reveals intriguing challenges and suggests potential future research directions.
Keyword:
Metaheuristic
Optimization
Optimization problem
Population-based
Teaching-learning-based optimization algorithm
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
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