期刊名： Computation

期刊主页：https://www.mdpi.com/journal/computation

Computation期刊全新栏目“Computational Intelligence”正式上线。栏目立足计算智能经典理论体系，涵盖神经计算、模糊系统、进化计算、群体智能等传统研究方向，同时兼容当下主流人工智能研究范式，包括深度学习、可解释可信人工智能、联邦学习、生成模型、基础模型、大语言模型、物理信息机器学习等前沿领域。本栏目致力于为融合计算建模与智能决策的多学科交叉研究提供专业学术平台，相关研究可覆盖科学、工程及社会各类应用场景。

本栏目欢迎系统性研究与实证验证相结合的原创性投稿，范围包括但不限于：核心计算方法与算法、人工智能与智能系统、机器学习与表征学习、基于图的学习与网络智能、可解释可信人工智能、大语言模型（LLMs）、数字孪生与智能预测建模、智能控制、机器人与自主系统、计算机视觉与模式识别等。

目前，本栏目正在招募栏目编委与客座编辑。若您深耕相关研究领域、致力于前沿学术成果的传播与发表，可通过邮箱 computation@mdpi.com 与期刊编辑部取得联系。

栏目主页：https://www.mdpi.com/journal/computation/sections/computational_intelligence

栏目编委

Dr. Andrea Serani（National Research Council–Institute of Marine Engineering）

Interests: simulation-based design optimization; machine learning; dimensionality reduction; surrogate-modelling; multi-fidelity methods; optimization algorithms; uncertainty quantification; application of computational fluid dynamics

Dr. Vítor Carvalho (Victoria University of Wellington)

Interests: smart actuation and control; biomedical devices; assistive technologies; cyber?physical systems; project-based learning; sensors; data acquisition; serious games; education; machine learning

Dr. Ivan Lorencin ( Juraj Dobrila University of Pula)

Interests: object recognition; image processing; artificial intelligence; pattern recognition; pattern classification; feature extraction; classification; computer vision; machine learning; signal, image and video processing

Prof. Dr. Jerzy Baranowski (AGH University of Kraków)

Interests: Bayesian statistics; control theory; fractional calculus; numerical methods; machine learning; fault detection; diagnostics; predictive maintenance

Dr. Lilia Tightiz (Sejong University)

Interests: quantum computing; quantum artificial intelligence; quantum optimization; reinforcement learning; federated learning; smart grids; blockchain and cybersecurity; intelligent energy systems

Dr. Nansha Gao (Northwestern Polytechnical University)

Interests: metamaterials; metastructures; AI; machine learning; vibration reduction; noise reduction

Dr. Stefano Quer (Politecnico di Torino)

Interests: systems and tools for CAD and VLSI; formal validation methods for hardware and software systems; embedded systems; autonomous driving; sensor networks; developing parallel algorithms and optimization techniques to achieve practical solutions with limited resources

Dr. Bin Yang (Xi’an Jiaotong University)

Interests: machinery fault diagnosis; AI-based diagnosis and prognostics; transfer learning; deep learning; embodied intelligent maintenance robots

Dr. Hao Lu (Huazhong University of Science and Technology)

Interests: computer vision; machine learning; image matting; object counting; semantic segmentation; object detection; depth estimation

Dr. Qi Chen (Victoria University of Wellington)

Interests: machine learning; evolutionary computation; feature selection; feature construction; transfer learning; domain adaptation

精选文章

From Research to Deployment in Autonomous Agricultural Machinery: A Review of Path-Planning Technologies Against a Deployability Assessment Framework

从研究到部署：基于可部署性评估框架的自主农业机械路径规划技术综述

Sam Wane et al.

https://www.mdpi.com/2079-3197/14/8/194

Wane, S.; Shamshiri, R.R.; Guo, W.; Chen, H.; Cheein, F.A. From Research to Deployment in Autonomous Agricultural Machinery: A Review of Path-Planning Technologies Against a Deployability Assessment Framework. Computation 2026, 14, 194.

Predicting Football Match Outcomes Using Machine Learning

基于机器学习的足球赛事结果预测

Morfis Sallis et al.

https://www.mdpi.com/2079-3197/14/9/195

Sallis, M.; Georgoulas, G.; Tsoulos, I.G. Predicting Football Match Outcomes Using Machine Learning. Computation 2026, 14, 195.

Robust Short-Term Multivariate Water-Level Forecasting Using a Hybrid LSTM–EnKF Model Under White-Noise Disturbances

白噪声扰动下基于混合LSTM–EnKF模型的鲁棒短期多变量水位预测

Jackson B. Renteria-Mena et al.

https://www.mdpi.com/2079-3197/14/9/199

Renteria-Mena, J.B.; Giraldo, E. Robust Short-Term Multivariate Water-Level Forecasting Using a Hybrid LSTM–EnKF Model Under White-Noise Disturbances. Computation 2026, 14, 199.

Learning Subgroup Relations Using Siamese Graph Neural Networks

基于孪生图神经网络的子群关系学习

Tal Weissblat

https://www.mdpi.com/2079-3197/14/9/204

Weissblat, T. Learning Subgroup Relations Using Siamese Graph Neural Networks. Computation 2026, 14, 204.

Modular Architecture for Artificial Intelligence Integration in Chaos- and Hyperchaos-Based Image Encryption Algorithms

面向混沌与超混沌图像加密算法的人工智能集成模块化架构

Hristina Stoycheva et al.

https://www.mdpi.com/2079-3197/14/10/228

Stoycheva, H.; Mihalev, G.; Sadinov, S.; Angelov, K.; Kogias, P.; Malamatoudis, M. Modular Architecture for Artificial Intelligence Integration in Chaos- and Hyperchaos-Based Image Encryption Algorithms. Computation 2026, 14, 228.

精选特刊

Geometry-Aware and Resource-Efficient Quantum AI

投稿截止日期: 2027年10月30日

客座编辑： Dr. Azadeh Alavi, Dr. Yongli Ren, Dr. Akib Karim

https://www.mdpi.com/journal/computation/special_issues/Y1PR3C5C7G

Big Data Analysis and Fuzzy Systems

投稿截止日期: 2027年3月31日

客座编辑： Dr. Ruiyang Xu, Dr. Doudou Guo, Dr. Lili Guo

https://www.mdpi.com/journal/computation/special_issues/JE17316MR0

Computational Intelligence for Smart Offshore Systems

投稿截止日期: 2027年9月30日

客座编辑： Prof. Dr. Lei Wu, Dr. Chao Liu

https://www.mdpi.com/journal/computation/special_issues/625DGM75T3

Federated Learning and Edge Intelligence for Trustworthy Industrial IoT

投稿截止日期: 2027年10月31日

客座编辑： Dr. Lei Zhang, Dr. Jianji Ren, Dr. Yanan Li

https://www.mdpi.com/journal/computation/special_issues/O9CW8D5I1K

Computational Intelligence and Data-Driven Methods for Green Energy Systems

投稿截止日期: 2027年7月31日

客座编辑： Prof. Dr. Adel Mellit, Dr. Michele Calì

https://www.mdpi.com/journal/computation/special_issues/ZI9T66AH65

Advances in Computational Intelligence for Environmental Fluid Mechanics

投稿截止日期: 2027年4月17日

客座编辑： Dr. George Efthimiou

https://www.mdpi.com/journal/computation/special_issues/X083P0J898

期刊介绍

主编：Prof. Dr. Ali Cemal Benim

德国杜塞尔多夫应用科技大学，D-40476 杜塞尔多夫，德国

Duesseldorf University of Applied Sciences, Germany

研究领域：计算方法；燃烧；湍流；多相流动；环境流体力学；流体机械；生物流体动力学

Computation (ISSN 2079-3197) 创刊于2013年，是一个国际化、经同行评审的开放获取期刊，致力于发表计算科学领域的高质量研究成果，涵盖计算工程、计算智能、计算社会学、计算生物学和计算化学。期刊旨在为学者和工程师提供了一个分享创新算法、模型及实际应用的平台，推动计算科学的发展与交流。

2025 Impact Factor：2.6

2025 CiteScore：5.2

Time to First Decision：13.6 Days

Acceptance to Publication：5.6 Days

期刊奖项

Best Paper Award

奖项截止日期：2027年6月

奖项详情页：https://www.mdpi.com/journal/computation/awards/4288

Outstanding Reviewer Award

奖项截止日期：2027年3月

奖项详情页：https://www.mdpi.com/journal/computation/awards/4294