A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms

A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms

Abstract Surrogate-assisted evolutionary algorithms (SAEAs) have attracted considerable attention for reducing the computation time required by an EA on computationally expensive optimization problems. In such algorithms, a surrogate model estimates the solution evaluation with a low computing cost...

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Bibliographic Details
Main Author: Tomohiro Harada
Format: Article
Language:English
Published: Springer 2023-06-01
Series:Complex & Intelligent Systems
Subjects:
DirectRanker
Evolutionary algorithms
Extreme learning machine
Pairwise ranking
Surrogate model
Online Access:https://doi.org/10.1007/s40747-023-01113-4

Internet

https://doi.org/10.1007/s40747-023-01113-4

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