Computational Intelligence in Real-World Optimization Problems: From Theory to Practice
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 305
Special Issue Editor
Special Issue Information
Researchers in engineering and science are facing optimization problems of ever-increasing complexity. These challenges encompass non-analytic ‘black-box’ functions, noisy landscapes, dynamic and uncertain settings, and big data, to name a few.
In these settings, classical mathematical optimization and analysis methods may perform poorly. This has motivated the development and application of computational intelligence (CI) methods for handling such problems.
Given the tremendous attention that CI methods have gained, both in academy and in the industry, the goal of this Special Issue is to present a curated collection of papers that describe the current state of the art in the theory and application of CI-based methods to real-world optimization problems. Papers must be original and previously unpublished. Papers discussing practical considerations and implementations are encouraged.
As such, relevant topics for this Special Issue include (but are not limited to) the following:
- CI-based optimization search methods;
- Applied optimization;
- Fuzzy logic and neural networks applications in optimization;
- CI in informatics, data mining and big data problems;
- Pertinent mathematical methods for enhancing the performance of CI-based methods;
- Real-world applications of CI in science and engineering.
Dr. Yoel Tenne
Guest Editor
Manuscript Submission Information
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Keywords
- applied optimization
- big data
- computational intelligence
- data mining
- fuzzy logic
- informatics
- modelling and simulations
- neural networks
- real-world applications
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