Intelligent Data Analysis with the Evolutionary Computation Methods
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 4441
Special Issue Editor
Interests: intelligent data analysis; machine learning and computer vision; computational intelligent; artificial intelligence in biomedical and industry
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to collect high-quality papers in the field of computational intelligence with contributions to the development, improvement, and application of the evolutionary algorithms for imperfect data analysis. To be specific, the evolutionary algorithms such as the particle swarm optimizer have played important roles in various industrial domains due to their advantages such as convenient implementation and fast convergence, but due to the imperfect property of related data, the algorithms may suffer from the premature problem at the same time. Therefore, how to endow the algorithm with considerable comprehensive performance so as to realize effective data analysis deserves further attention. Topics of interest for this Special Issue include, but are not limited to:
- Strategy for enhancing global searching ability of evolutionary algorithms;
- Development of novel heuristic algorithms;
- Processing of the imperfect data;
- Applications of evolutionary algorithms in cross-disciplinary studies;
- Optimization theory in engineering;
- Learnable optimizer with assistance of other advanced techniques.
Dr. Nianyin Zeng
Guest Editor
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Keywords
- computational intelligence
- evolutionary algorithm
- intelligent data analysis
- imperfect data processing
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