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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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 29; H. 5; S. 2004 - 2018
Hauptverfasser:	Zhao, Qi, Liu, Tengfei, Yan, Bai, Duan, Qiqi, Yang, Jian, Shi, Yuhui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2025
Schlagworte:	Approximation algorithms Automated design evolutionary algorithm learning metaheuristic Metaheuristics Neurons optimization Problem-solving Search problems transformer Transformers Vectors
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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