Automated Metaheuristic Algorithm Design With Autoregressive Learning

Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods design algorithms within a fixed structure and operate from scratch. This poses a clear gap toward fully discovering potenti...

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Bibliographic Details

Published in:	IEEE transactions on evolutionary computation Vol. 29; no. 5; pp. 2004 - 2018
Main Authors:	Zhao, Qi, Liu, Tengfei, Yan, Bai, Duan, Qiqi, Yang, Jian, Shi, Yuhui
Format:	Journal Article
Language:	English
Published:	IEEE 01.10.2025
Subjects:	Approximation algorithms Automated design evolutionary algorithm learning metaheuristic Metaheuristics Neurons optimization Problem-solving Search problems transformer Transformers Vectors
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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