Advances in Swarm Intelligence, Data Science and Their Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 24720
Special Issue Editors
Interests: swarm intelligence; swarm intelligence optimization algorithm; fireworks algorithm; swarm robotics; machine learning and data mining
Special Issues, Collections and Topics in MDPI journals
Interests: computational intelligence; machine learning; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: swarm intelligence; natural computing; evolutionary computation
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; swarm and evolutionary optimization; new algorithms; Net-Sci; semiotics and AI; AI for compliance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will cover the most recent discovery and development centered around two major topics: swarm intelligence and data science.
Swarm intelligence systems typically study the complex collective behavior that arises from decentralized simple agents with local and/or global interaction. The inspiration for swarm intelligence algorithms usually comes from natural behavior or phenomena, such as ant colonies, bird flocks, fireworks, etc. Typical subdomains of swarm intelligence are swarm-based optimization techniques and multi-agent cooperative systems. It has been proven that swarm intelligence is an effective way to tackle complex problems that arise in various domains such as power systems, robotics, information systems, image processing, computation chemistry, and so on. The importance of swarm intelligence in today’s society is gradually being brought to a whole new level.
On the other hand, data science has gained more and more momentum in the era of big data and artificial intelligence. It utilizes theories and techniques from machine learning, statistics, and information theory to help us extract valuable knowledge, patterns, and insights from data that are usually very large and complex. Some typical applications of data science are fraud detection, recommender systems, bioinformatics, stock market prediction, and so on. Our Special Issue is mainly concerned with advances in the field of data mining, machine learning, pattern recognition, automatic control, and their respective applications.
Prof. Dr. Ying Tan
Prof. Dr. Yan Pei
Prof. Dr. Gaige Wang
Prof. Dr. Fernando Buarque
Guest Editors
Manuscript Submission Information
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Keywords
- Swarm intelligence
- Big data
- Natural computing
- Fireworks algorithms
- Multi-agent theories
- Optimization theories
- Data mining
- Machine learning
- Pattern recognition
- Automatic control
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