Krisztián Balázs

Affiliations:
  • Budapest University of Technology and Economics, Hungary


According to our database1, Krisztián Balázs authored at least 12 papers between 2010 and 2013.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2013
Korszerű megközelítések az evolúciós algoritmusok alkalmazási mószereiben
PhD thesis, 2013

Improving system reliability in optical networks by failure localization using evolutionary optimization.
Proceedings of the IEEE International Systems Conference, 2013

Constructing dense fuzzy systems by adaptive scheduling of optimization algorithms.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Adaptive scheduling of optimization algorithms in the construction of interpolative fuzzy systems.
Proceedings of the FUZZ-IEEE 2013, 2013

A Stochastic Model for Analyzing the Interpretability-Accuracy Trade-off in Interpretable Fuzzy Systems Using Nested Hyperball Structures.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

2012
Genetic and Bacterial Memetic Programming approaches in hierarchical-interpolative fuzzy system construction.
Proceedings of the FUZZ-IEEE 2012, 2012

Hybrid Bacterial Iterated Greedy heuristics for the Permutation Flow Shop Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Hierarchical-interpolative fuzzy system construction by Genetic and Bacterial Programming Algorithms.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Comparison of Various Evolutionary and Memetic Algorithms.
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

A Remark on Adaptive Scheduling of Optimization Algorithms.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010

Hierarchical fuzzy system modeling by Genetic and Bacterial Programming approaches.
Proceedings of the FUZZ-IEEE 2010, 2010

Comparative analysis of interpolative and non-interpolative fuzzy rule based machine learning systems applying various numerical optimization methods.
Proceedings of the FUZZ-IEEE 2010, 2010


  Loading...