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Evolutionary Algorithms
The main objective is to investigate efficient algorithms for various types of optimization problems.
One of the main research lines is the study of optimization in the presence/absence of various constraints.
Evolutionary algorithms used here encompass algorithms based on the biological process of natural selection.
Examples of such algorithms are Genetic Algorithms, Evolutionary Strategies, Evolutionary Programming, and Genetic
Programming. The program is involved in both foundational research and applications. The main application areas
are routing and scheduling, time tabling, financial models, data analysis, and data mining, This program
cooperates with the Informatik Center Dortmund, Germany,
and with the European Network of Excellence on Evolutionary Computation
(EvoNet).
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Neural Networks
This program develops and applies novel computational techniques based on neural networks. It focuses on the analysis
of large amounts of data (data mining). The main goal is to extract (mostly unexpected) information from the data, which
means to classify and clarify the data, as well as to learn from examples and to find models that can be used to make
predictions. To facilitate in the achieving of this goal, the foundations of neural networks are studied. This program
extensively collaborates with the industry, with academic research groups, and with the
Centre for Mathematics and Computer Science (CWI), Amsterdam.
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