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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Vydané v:	IEEE transactions on evolutionary computation Ročník 29; číslo 5; s. 2004 - 2018
Hlavní autori:	Zhao, Qi, Liu, Tengfei, Yan, Bai, Duan, Qiqi, Yang, Jian, Shi, Yuhui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2025
Predmet:	Approximation algorithms Automated design evolutionary algorithm learning metaheuristic Metaheuristics Neurons optimization Problem-solving Search problems transformer Transformers Vectors
ISSN:	1089-778X, 1941-0026
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