Guido Smits

According to our database1, Guido Smits authored at least 13 papers between 2002 and 2015.

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

Timeline

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Links

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Bibliography

2015
Computational Intelligence in Industrial Applications.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

2010
On the Importance of Data Balancing for Symbolic Regression.
IEEE Trans. Evol. Comput., 2010

2009
Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming.
IEEE Trans. Evol. Comput., 2009

2007
Industrial evolutionary computing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Novel Approach to Develop Rheological Structure-Property Relationships Using Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature, 2006

Pareto front genetic programming parameter selection based on design of experiments and industrial data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Ordinal Pareto Genetic Programming.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Competitive advantages of evolutionary computation for industrial applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature, 2004

Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Hybrid model development methodology for industrial soft sensors.
Proceedings of the American Control Conference, 2003

2002
Robust soft sensors based on integration of genetic programming, analytical neural networks, and support vector machines.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002


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