A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization

Recent decades have witnessed great advancements in multiobjective evolutionary algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these progressively improved MOEAs have not necessarily been equipped with scalable and learnable problem-solving strategies for new and grand...

Full description

Bibliographic Details

Published in:	arXiv.org
Main Authors:	Liu, Songbai, Lin, Qiuzhen, Li, Jianqiang, Kay Chen Tan
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 27.02.2023
Subjects:	Discriminators Evolutionary algorithms Evolutionary computation Genetic algorithms Machine learning Mopping Multiple objective analysis Optimization Problem solving Scaling up Taxonomy
ISSN:	2331-8422
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!