Original paper

An efficient surrogate-assisted hybrid optimization algorithm for expensive optimization problems

Volume: 561, Pages: 304 - 325
Published: Jun 1, 2021
Abstract
Surrogate-assisted evolutionary algorithms (SAEAs) are potential approaches to solve computationally expensive optimization problems. The critical idea of SAEAs is to combine the powerful searching capabilities of evolutionary algorithms with the predictive capabilities of surrogate models. In this study, an efficient surrogate-assisted hybrid optimization (SAHO) algorithm is proposed via combining two famous algorithms, namely,...
Paper Details
Title
An efficient surrogate-assisted hybrid optimization algorithm for expensive optimization problems
Published Date
Jun 1, 2021
Volume
561
Pages
304 - 325
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