A comparative study of solution representations for the unrelated machines environment
Improving genetic algorithm performance by population initialisation with dispatching rules
Creating dispatching rules by simple ensemble combination
Automated design of dispatching rules in unrelated machines environment
A survey of dispatching rules for the dynamic unrelated machines environment
Evolving dispatching rules for optimising many- objective criteria in the unrelated machines environment
Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment
Comparison of solution representations for scheduling in the unrelated machines environment
Adaptive scheduling on unrelated machines with genetic programming
Optimization of scheduling for unrelated machines
Machine-to-machine communication as key enabler in smart metering systems
GPU Implementation of a Medical Imaging Data Compression Algorithm
Evolutionary computation description language
Teaching duties
University undergraduate
- Interactive Computer Graphics (Laboratory exercises)
University graduate
- Computer Aided Analysis and Design (Lecturers)
- Seminar (Lecturers)
Competences
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Computational and artificial intelligence
Artificial intelligence Machine learning Computational intelligence Greedy algorithms Evolutionary computation Particle swarm optimization Genetic algorithms Fuzzy logic Artificial neural networks -
Computational and artificial intelligence
Artificial intelligence Machine learning Computational intelligence Greedy algorithms Evolutionary computation Particle swarm optimization Genetic algorithms Fuzzy logic Artificial neural networks