A classification and regression assisted optimization algorithm for high-dimensional expensive many-objective problems-Reference-Cited by-同舟云学术

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A classification and regression assisted optimization algorithm for high-dimensional expensive many-objective problems

Published:2024-06 Issue: Volume:586 Page:127629
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Geng Huantong,Song Feifei^ORCID,Shen Junye,Li Jiaxing

Publisher

Elsevier BV

Reference59 articles.

1. NSGANetV2: Evolutionary multi-objective surrogate-assisted neural architecture search;Lu,2020

2. Efficient multi-objective neural architecture search via Lamarckian evolution;Elsken,2018

3. Multi-objective neural architecture search via predictive network performance optimization;Shi,2019

4. A comprehensive survey of fitness approximation in evolutionary computation;Jin;Soft Comput.,2005

5. Surrogate-assisted evolutionary computation: Recent advances and future challenges;Jin;Swarm Evol. Comput.,2011

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1. Tuning Evolutionary Multi-Population Models for High-Dimensional Problems: The Case of the Migration Process;2024

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