Advances in teaching–learning-based optimization algorithm: A comprehensive survey(ICIC2022)-Reference-Cited by-同舟云学术

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Advances in teaching–learning-based optimization algorithm: A comprehensive survey(ICIC2022)

Published:2023-12 Issue: Volume:561 Page:126898
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhou Guo,Zhou Yongquan^ORCID,Deng Wu,Yin Shihong,Zhang Yunhui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference158 articles.

1. A comprehensive survey on cultural algorithms;Maheri;Swarm Evol. Comput.,2021

2. Hybridization optimization and Metaheuristiv Algorithms;Eshghi,2013

3. Metaheuristic optimization in power engineering;Radosavljević J.,2018

4. A brief review of nature-inspired algorithms for optimisation;Fister;Elektroteh Vestn,2013

5. Chapter 10 Metaheuristic algorithms: a comprehensive review;Abdel-Basset,2018

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