A hierarchical surrogate assisted optimization algorithm using teaching-learning-based optimization and differential evolution for high-dimensional expensive problems

Zhang, Jian; Li, Muxi; Yue, Xinxin; Wang, Xiaojuan; Shi, Maolin

doi:10.1016/j.asoc.2023.111212

Applied Soft Computing

2024

DOI: 10.1016/j.asoc.2023.111212

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A hierarchical surrogate assisted optimization algorithm using teaching-learning-based optimization and differential evolution for high-dimensional expensive problems

Jian Zhang,

Muxi Li,

Xinxin Yue

et al.

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A hierarchical surrogate assisted optimization algorithm using teaching-learning-based optimization and differential evolution for high-dimensional expensive problems

Cited by 5 publications

References 41 publications

Optimization of the mooring system of a floating wind turbine by developing a surrogate model-assisted evolutionary framework

Optimization of the mooring system of a floating wind turbine by developing a surrogate model-assisted evolutionary framework

Optimal equivalent circuit models for photovoltaic cells and modules using multi-source guided teaching–learning-based optimization

Surrogate-assisted fully-informed particle swarm optimization for high-dimensional expensive optimization

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