Computational Intelligence Methods for Difficult Problems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 271
Special Issue Editor
Interests: artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
By integrating mathematical concepts, computational intelligence exploits the power of rigorous analytical frameworks to design, analyze, and improve algorithms and models, leading to more robust, efficient, and interpretable systems. Set theory, graph theory, and logics offer formalism foundations for knowledge representations and database theories. Statistical and probabilistic methods are fundamental in machine learning and reasoning under uncertainty. Convex optimization and numerical analysis support resource allocation problems and computational simulations. Algorithm design, data compression, and decision trees rely on entropy measures and information theory. Modelling and simulations are developed on differential equations and dynamical systems.
This Special Issue’s goal is to gather papers which propose robust and adaptive methodologies for treating complex problems, at both theoretical and practical levels.
Dr. Gloria Cerasela Crisan
Guest Editor
Manuscript Submission Information
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Keywords
- neural networks
- fuzzy systems, evolutionary computation
- swarm intelligence
- hybrid systems
- pattern recognition
- data mining
- knowledge discovery
- heuristics
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