Journal: Evolutionary Intelligence (EI/ESCI)

Special Issue: Recent Advances on Computational Intelligence Techniques and Applications in Big Data

Guest Editors: Xingsi Xue, Pei-Wei Tsai, Yuping Wang, Chin-Ling Chen, Vicente Garcia Diaz, Chih-Cheng Hung

Submission Deadline: Unlimited

Website: https://www.springer.com/journal/12065/updates/19547742

Computational intelligence (CI) represents a collection or set of computational techniques in soft computing, machine learning, and some engineering disciplines which investigate, simulate, and analyze very complex issues and phenomena, closely related with evolutionary intelligence. CI provides us with the opportunity to use our knowledge and raw data to approach extremely complex problems. Nowadays, in the combination of mathematical/computational models, data science, optimization and algorithms, CI have become one of the most rapidly developing areas with varied applications in both science and society.

Nowadays, CI techniques in big data are a hot research topic among academics and the industry community. Big data refers to a collection of data sets that are too large or too complex for efficient processing and analysis using traditional database management tools. The applications of CI in big data will enhance decision making, insight discovery, and the process of optimization. However, there are still numerous technical challenges and issues that need to be improved and broadly explored.

This Special Issue aims at the dissemination of the most recent advances on the techniques in CI domain, such as evolutionary algorithms, swarm intelligence, artificial neural networks, and so on, and their applications in the context of big data. The potential topics include, but are not limited to, the following:

Computational Intelligence Techniques

• Evolutionary Algorithms

• Swarm Intelligence

• Artificial Neural Networks

• Artificial Immune Systems

• Deep Neural Networks

• Reinforcement Learning

• Generative Adversarial Networks

• Fuzzy Logic & Fuzzy Inference Systems

• Machine Learning Algorithms

• High Performance Computing

Big Data Applications

• Pattern Recognition

• Image Processing

• Computer Vision

• Bioinformatics

• Semantic Web

• Information Security

• Internet of Things

• High-performance Computing

• Natural Language Processing

• Intelligent Transportation Systems

Guest Editors
    Xingsi Xue, Fujian University of Technology, China
    Pei-Wei Tsai, Swinburne University of Technology, Australia
    Yuping Wang, Xidian University, China
    Chin-Ling Chen, Chaoyang University of Technology, Taiwan
    Vicente Garcia Diaz, University of Oviedo, Spain
    Chih-Cheng Hung, Kennesaw State University, United States

Important Dates
    Submission deadline: 31 March 2022
    Notification of acceptance: 30 June 2022
    Final manuscript due: 31 July 2022
    Publication: 30 September 2022 (approx.)