2018
B. Burlacu, M. Affenzeller, M. Kommenda, G. K. Kronberger, S. M. Winkler - Schema Analysis in Tree-based Genetic Programming in Genetic Programming in Theory and Practice XV (Contributions to Book: Part/Chapter/Section… mehr
2018
S. M. Winkler, M. Affenzeller, S. Winkler, G. K. Kronberger, M. Kommenda, P. Fleck - Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression in Genetic Programming… mehr
2017
G. K. Kronberger, B. Burlacu, M. Kommenda, S. M. Winkler, M. Affenzeller - Measures for the Evaluation and Comparison of Graphical Model Structures - Lecture Notes in Computer Science 10671, Las Palmas… mehr
2017
M. Kommenda, J. Karder, A. Beham, B. Burlacu, G. K. Kronberger, S. Wagner, M. Affenzeller - Optimization Networks for Integrated Machine Learning - Lecture Notes in Computer Science 10671, Las Palmas de… mehr
2017
B. Burlacu, M. Affenzeller, M. Kommenda, G. K. Kronberger, S. M. Winkler - Analysis of Schema Frequencies in Genetic Programming - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien,… mehr
2017
M. Affenzeller, B. Burlacu, S. M. Winkler, M. Kommenda, G. K. Kronberger, S. Wagner - Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation… mehr
2017
M. Affenzeller, S. M. Winkler, B. Burlacu, G. K. Kronberger, M. Kommenda, S. Wagner - Dynamic Observation of Genotypic and Phenotypic Diversity for Different Symbolic Regression GP variants - GECCO '17:… mehr
2016
M. Kommenda, G. K. Kronberger, M. Affenzeller, S. M. Winkler, B. Burlacu - Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming in Genetic Programming Theory and Practice XIII… mehr
2015
S. M. Winkler, M. Affenzeller, G. K. Kronberger, M. Kommenda, B. Burlacu, S. Wagner - Sliding Window Symbolic Regression for Detecting Changes of System Dynamics in Genetic Programming Theory and Practice… mehr
2015
M. Kommenda, B. Burlacu, R. Holecek, A. Gebeshuber, M. Affenzeller - Heat Treatment Process Parameter Estimation using Heuristic Optimization Algorithms - Proceedings of the 27th European Modeling and… mehr
2015
B. Burlacu, M. Kommenda, M. Affenzeller - Building Blocks Identification Based on Subtree Sample Counts for Genetic Programming - Proceedings of the 3rd Asia-Pacific Conference on Computer Aided System… mehr
2015
B. Burlacu, M. Affenzeller, S. M. Winkler, M. Kommenda, G. K. Kronberger - Methods for Genealogy and Building Blocks Analysis in Genetic Programming in Computational Intelligence and Efficiency in Engineering… mehr
2015
M. Kommenda, M. Affenzeller, G. K. Kronberger, B. Burlacu, S. M. Winkler - Multi-Population Genetic Programming with Data Migration for Symbolic Regression in Computational Intelligence and Efficiency… mehr
2014
M. Kommenda, M. Affenzeller, B. Burlacu, G. K. Kronberger, S. M. Winkler - Genetic Programming with Data Migration for Symbolic Regression - Companion Publication of the 2014 Genetic and Evolutionary Computation… mehr
2014
M. Affenzeller, S. M. Winkler, G. K. Kronberger, M. Kommenda, B. Burlacu, S. Wagner - Gaining Deeper Insights in Symbolic Regression in Genetic Programming Theory and Practice XI (Contributions to Book:… mehr
2013
B. Burlacu, M. Affenzeller, M. Kommenda, S. M. Winkler, G. K. Kronberger - Visualization of Genetic Lineages and Inheritance Information in Genetic Programming - Companion Publication of the 2013 Genetic… mehr
2013
B. Burlacu, M. Affenzeller, M. Kommenda - On The Evolutionary Behavior of Genetic Programming with Constants Optimization - Lecture Notes in Computer Science LNCS 8111, Las Palmas de Gran Canaria, Spanien,… mehr
2012
B. Burlacu, M. Affenzeller, M. Kommenda, S. M. Winkler, G. K. Kronberger - Evolution Tracking in Genetic Programming - Proceedings of the 24th European Modeling and Simulation Symposium EMSS 2012, Vienna,… mehr
2012
A. Scheibenpflug, S. Wagner, E. Pitzer, B. Burlacu, M. Affenzeller - On the Analysis, Classification and Prediction of Metaheuristic Algorithm Behavior For Combinatorial Optimization Problems - Proceedings… mehr
2014
Ziel dieses Projekts ist die Entwicklung innovativer Optimierungsalgorithmen, um durch ganzheitliche Modellierung und Optimierung von wechselseitig abhängigen Teilprozessen zusätzliches Optimierungspotential… mehr