Improving surrogate-assisted variable fidelity multi-objective optimization using a clustering algorithm

Yan Liu; Matthew Collette

doi:10.1016/j.asoc.2014.07.022

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Improving surrogate-assisted variable fidelity multi-objective optimization using a clustering algorithm

Yan Liu Matthew Collette

Year: 2014 Journal: Applied Soft Computing Vol: 24 Pages: 482-493 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2014.07.022

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Keywords:

Surrogate model Computer science Mathematical optimization Cluster analysis Optimization problem Fidelity Evolutionary algorithm Multi-objective optimization Algorithm Machine learning Mathematics

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Improving surrogate-assisted variable fidelity multi-objective optimization using a clustering algorithm

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