University of Oulu

Hua C, Cao X, Liao B and Li S (2023) Advances on intelligent algorithms for scientific computing: an overview. Front. Neurorobot. 17:1190977. doi: 10.3389/fnbot.2023.1190977

Advances on intelligent algorithms for scientific computing : an overview

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Author: Hua, Cheng1; Cao, Xinwei2; Liao, Bolin1;
Organizations: 1College of Computer Science and Engineering, Jishou University, Jishou, China
2School of Business, Jiangnan University, Wuxi, China
3Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
4VTT Technical Research Centre of Finland, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.6 MB)
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Language: English
Published: Frontiers Media, 2023
Publish Date: 2023-08-16


The field of computer science has undergone rapid expansion due to the increasing interest in improving system performance. This has resulted in the emergence of advanced techniques, such as neural networks, intelligent systems, optimization algorithms, and optimization strategies. These innovations have created novel opportunities and challenges in various domains. This paper presents a thorough examination of three intelligent methods: neural networks, intelligent systems, and optimization algorithms and strategies. It discusses the fundamental principles and techniques employed in these fields, as well as the recent advancements and future prospects. Additionally, this paper analyzes the advantages and limitations of these intelligent approaches. Ultimately, it serves as a comprehensive summary and overview of these critical and rapidly evolving fields, offering an informative guide for novices and researchers interested in these areas.

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Series: Frontiers in neurorobotics
ISSN: 1662-5218
ISSN-E: 1662-5218
ISSN-L: 1662-5218
Volume: 17
Article number: 1190977
DOI: 10.3389/fnbot.2023.1190977
Type of Publication: A2 Review article in a scientific journal
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the National Natural Science Foundation of China under Grant No. 62066015, the Natural Science Foundation of Hunan Province of China under Grant No. 2020JJ4511, and the Research Foundation of Education Bureau of Hunan Province, China, under Grant No. 20A396.
Copyright information: © 2023 Hua, Cao, Liao and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.