Cargando…
An Improved Teaching-Learning-Based Optimization Algorithm with Reinforcement Learning Strategy for Solving Optimization Problems
This paper presents an improved teaching-learning-based optimization (TLBO) algorithm for solving optimization problems, called RLTLBO. First, a new learning mode considering the effect of the teacher is presented. Second, the Q-Learning method in reinforcement learning (RL) is introduced to build a...
Autores principales: | Wu, Di, Wang, Shuang, Liu, Qingxin, Abualigah, Laith, Jia, Heming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970903/ https://www.ncbi.nlm.nih.gov/pubmed/35371212 http://dx.doi.org/10.1155/2022/1535957 |
Ejemplares similares
-
Modified Harris Hawks Optimization Algorithm with Exploration Factor and Random Walk Strategy
por: Song, Meijia, et al.
Publicado: (2022) -
A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems
por: Wang, Shuang, et al.
Publicado: (2021) -
An Improved Moth-Flame Optimization Algorithm with Adaptation Mechanism to Solve Numerical and Mechanical Engineering Problems
por: Nadimi-Shahraki, Mohammad H., et al.
Publicado: (2021) -
Hybrid Slime Mold and Arithmetic Optimization Algorithm with Random Center Learning and Restart Mutation
por: Chen, Hongmin, et al.
Publicado: (2023) -
Teaching–Learning Optimization Algorithm Based on the Cadre–Mass Relationship with Tutor Mechanism for Solving Complex Optimization Problems
por: Wu, Xiao, et al.
Publicado: (2023)