Advances on intelligent algorithms for scientific computing: An overview

Cheng Hua; Xinwei Cao; Bolin Liao; Shuai Li

doi:10.3389/fnbot.2023.1190977

Advances on intelligent algorithms for scientific computing: An overview

Cheng Hua
, Xinwei Cao
, Bolin Liao^*
, Shuai Li^*

^*Corresponding author for this work

Not published at VTT

Jishou University
Jiangnan University
University of Oulu
VTT (former employee or external)

Research output: Contribution to journal › Review Article › peer-review

34 Citations (Scopus)

Abstract

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.

Original language	English
Article number	1190977
Journal	Frontiers in Neurorobotics
Volume	17
DOIs	https://doi.org/10.3389/fnbot.2023.1190977
Publication status	Published - 2023
MoE publication type	A2 Review article in a scientific journal

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.

Keywords

dynamic systems
intelligent systems
neural networks
optimization algorithms and strategies
robotic

Access to Document

10.3389/fnbot.2023.1190977Licence: CC BY

Cite this

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abstract = "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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PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - dynamic systems

KW - intelligent systems

KW - neural networks

KW - optimization algorithms and strategies

KW - robotic

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DO - 10.3389/fnbot.2023.1190977

M3 - Review Article

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JO - Frontiers in Neurorobotics

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Advances on intelligent algorithms for scientific computing: An overview

Abstract

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Keywords

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