My research interests (under evolution)

  • Evolutionary computing: applications and theory

    • I am particularly interested in population sizing, population diversity analysis and maintenance, saddle crossing mechanism, as well as in issues of including the domain knowledge in constraint handling, representation and operators design.

  • Metaheuristics for global optimization

    • Within that area I am working on taxonomy of metaheuristics and their relations to machine learning.

  • Machine learning

    • I have been developing a methodology to perform the nonlinear regression in an incremental way. The method is based on sequential adding nonlinear terms to the approximator using the analysis of correlation between the added term and the current residue function. Another issue we develop is the methodology of optimizing parameters of kernel functions such that the resulting SVM classifier will be small and accurate, but the optimization process is performed prior to the classifier training.

  • applications of optimization and machine learning techniques

    • The list of applications contains: automatic control of the combustion process in coal-fired power plants, decision making under uncertainty in the deregulated electricity market, support for modeling the semiconductor devices, automated DNA annotation,... (to be continued)

  • research in areas of shale gas and smart city

List of publications

List of my publications can be achieved via Google Scholar and in the Base of Knowledge, Warsaw University of Technology.