Robotics & Machine Learning Daily News2024,Issue(Apr.18) :52-53.

Reports Summarize Computational Intelligence Study Results fromNortheastern Uni versity (Surrogate-assisted Evolutionary Multiobjective Optimization of Medium- scale Problems By Random Grouping and Sparse Gaussian Modeling)

Robotics & Machine Learning Daily News2024,Issue(Apr.18) :52-53.

Reports Summarize Computational Intelligence Study Results fromNortheastern Uni versity (Surrogate-assisted Evolutionary Multiobjective Optimization of Medium- scale Problems By Random Grouping and Sparse Gaussian Modeling)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning - Computational Intelligence.According to news reporting origi nating from Shenyang, People’s Republic of China, by NewsRx correspondents,rese arch stated, “Gaussian processes (GPs) are widely employed in surrogate-assisted evolutionaryalgorithms (SAEAs) because they can estimate the level of uncertai nty in their predictions. However, thecomputational complexity of GPs grows cub ically with the number of training samples, the time requiredfor constructing a GP becomes excessively long.”

Key words

Shenyang/People’s Republic of China/As ia/Computational Intelligence/Machine Learning/Evolutionary Algorithm/Mathem atics/Northeastern University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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