A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets

Chaodong Fan; Bo Hou; Jinhua Zheng; Leyi Xiao; Lingzhi Yi

doi:10.1016/j.asoc.2020.106242

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A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets

Chaodong Fan Bo Hou Jinhua Zheng Leyi Xiao Lingzhi Yi

Year: 2020 Journal: Applied Soft Computing Vol: 91 Pages: 106242-106242 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2020.106242

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Keywords:

Surrogate model Benchmark (surveying) Computer science Particle swarm optimization Sample (material) Set (abstract data type) Ensemble learning Evolutionary algorithm Mathematical optimization Machine learning Artificial intelligence Algorithm Mathematics

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets

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