Michael Affenzeller

According to our database1, Michael Affenzeller authored at least 175 papers between 2001 and 2020.

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

Timeline

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Bibliography

2020
Parameter identification for symbolic regression using nonlinear least squares.
Genet. Program. Evolvable Mach., 2020

Towards Knowledge-guided Genetic Improvement.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Solution approaches for the dynamic stacking problem.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Surrogate-assisted microscopic traffic simulation-based optimisation of routing parameters.
Int. J. Simul. Process. Model., 2019

On constraint programming for a new flexible project scheduling problem with resource constraints.
CoRR, 2019

Machine learning based concept drift detection for predictive maintenance.
Comput. Ind. Eng., 2019

Approximate Q-Learning for Stacking Problems with Continuous Production and Retrieval.
Appl. Artif. Intell., 2019

Mining patterns from genetic improvement experiments.
Proceedings of the 6th International Workshop on Genetic Improvement, 2019

Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

Parsimony measures in multi-objective genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Uncertainty in real-world steel stacking problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Concept Drift Detection with Variable Interaction Networks.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Surrogate-Assisted Fitness Landscape Analysis for Computationally Expensive Optimization.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Genetic Programming Based Evolvement of Models of Models.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Investigating the Dynamic Block Relocation Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

"Incremental" Evaluation for Genetic Crossover.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Solving a Flexible Resource-Constrained Project Scheduling Problem Under Consideration of Activity Priorities.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Novel robustness measures for engineering design optimisation.
Int. J. Simul. Process. Model., 2018

Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems.
Appl. Soft Comput., 2018

Modeling Sensor Networks for Predictive Maintenance.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2018 Workshops, 2018

Cluster Analysis of a Symbolic Regression Search Space.
Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Quasi-bistability of walk-based landscape measures in stochastic fitness landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Discrete real-world problems in a black-box optimization benchmark.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Dynamic fitness functions for genetic improvement in compilers and interpreters.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Asynchronous surrogate-assisted optimization networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Confidence-based ensemble modeling in medical data mining.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Schema-based diversification in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Algorithm selection on generalized quadratic assignment problem landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Local Optima Networks in Solving Algorithm Selection Problem for TSP.
Proceedings of the Contemporary Complex Systems and Their Dependability, 2018

2017
Extending Sim# for simulation-based optimisation of semi-automated machinery.
Int. J. Simul. Process. Model., 2017

Optimization Approaches for the Physical Internet.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Workshops, 2017

Schema Analysis in Tree-Based Genetic Programming.
Proceedings of the Genetic Programming Theory and Practice XV, 2017

Enabling high-dimensional surrogate-assisted optimization by using sliding windows.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards the design and implementation of optimization networks in HeuristicLab.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Optimization networks for real-world production and logistics problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Instance-based algorithm selection on quadratic assignment problem landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Sliding Window Symbolic Regression for Predictive Maintenance Using Model Ensembles.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

A Fair Performance Comparison of Different Surrogate Optimization Strategies.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Measures for the Evaluation and Comparison of Graphical Model Structures.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Optimization Networks for Integrated Machine Learning.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Solving the Traveling Thief Problem Using Orchestration in Optimization Networks.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

A General Solution Approach for the Location Routing Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysis of Schema Frequencies in Genetic Programming.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016
Heterogeneous model ensembles for short-term prediction of stock market trends.
Int. J. Simul. Process. Model., 2016

Distribution of waiting time for dynamic pickup and delivery problems.
Ann. Oper. Res., 2016

Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.
Proceedings of the Genetic Programming Theory and Practice XIV, 2016

Evolutionary Procedural 2D Map Generation using Novelty Search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Optimization Knowledge Center: A Decision Support System for Heuristic Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Identification and Classification of Objects and Motions in Microscopy Images of Biological Samples Using Heuristic Algorithms.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Multi-Population Genetic Programming with Data Migration for Symbolic Regression.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Robust Storage Assignment in Warehouses with Correlated Demand.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Methods for Genealogy and Building Block Analysis in Genetic Programming.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Data-based prediction of sentiments using heterogeneous model ensembles.
Soft Comput., 2015

Dynamic optimal power flow control with simulation-based evolutionary policy-function approximation.
Int. J. Simul. Process. Model., 2015

Simplifying Problem Definitions in the HeuristicLab Optimization Environment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Diversity-Based Offspring Selection Criteria for Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Using Contextual Information in Sequential Search for Grammatical Optimization Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Complexity Measures for Multi-objective Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Optimizing Set-Up Times Using the HeuristicLab Optimization Environment.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Modeling a Lot-Aware Slab Stack Shuffling Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

On the Effectiveness of Genetic Operations in Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Increasing the Sensitivity of Cancer Predictors Using Confidence Based Ensemble Modeling.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

2014
Software-Enabled Investigation in Metaheuristic Power Grid Optimization.
IEEE Trans. Ind. Informatics, 2014

Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs.
IEEE Trans. Ind. Electron., 2014

Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.
Proceedings of the Genetic Programming Theory and Practice XII, 2014

Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Genetic programming with data migration for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Enhancing local search algorithms for job shops with min-sum objectives by approximate move evaluation.
J. Sched., 2013

On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer.
Int. J. Simul. Process. Model., 2013

Probabilistic Electric Vehicle Charging Optimized With Genetic Algorithms and a Two-Stage Sampling Scheme.
Int. J. Energy Optim. Eng., 2013

Simulation-based evolution of resupply and routing policies in rich vendor-managed inventory scenarios.
Central Eur. J. Oper. Res., 2013

Gaining Deeper Insights in Symbolic Regression.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Effects of constant optimization by nonlinear least squares minimization in symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Visualization of genetic lineages and inheritance information in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Application of an Island Model Genetic Algorithm for a Multi-track Music Segmentation Problem.
Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2013

Automatic Algorithm Selection for the Quadratic Assignment Problem Using Fitness Landscape Analysis.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

Evolutionary Algorithm Based Control Policies for Flexible Optimal Power Flow over Time.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Structural Synthesis of Dispatching Rules for Dynamic Dial-a-Ride Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Measurement of Anisotropy in Fitness Landscapes.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Nonlinear Least Squares Optimization of Constants in Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Yard Storage Assignment Optimisation with Neutral Walks.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Bridging the Gap between Rich Supply Chain Problems and the Effective Application of Metaheuristics through Ontology-Based Modeling.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

On the Evolutionary Behavior of Genetic Programming with Constants Optimization.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Fitness Landscape Based Parameter Estimation for Robust Taboo Search.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Evolutionary computation enabled controlled charging for e-mobility aggregators.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013

2012
A Comprehensive Survey on Fitness Landscape Analysis.
Proceedings of the Recent Advances in Intelligent Engineering Systems, 2012

Analysis of Allele Distribution Dynamics in Different Genetic Algorithms.
Proceedings of the Recent Advances in Intelligent Engineering Systems, 2012

An exact approach for single machine subproblems in shifting bottleneck procedures for job shops with total weighted tardiness objective.
Eur. J. Oper. Res., 2012

Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation.
Proceedings of the Winter Simulation Conference, 2012

Knowledge Discovery through Symbolic Regression with HeuristicLab.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An adaption of the schema theorem to various crossover and mutation operators for a music segmentation problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Generic hardness estimation using fitness and parameter landscapes applied to robust taboo search and the quadratic assignment problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

On the architecture and implementation of tree-based genetic programming in HeuristicLab.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evolutionary optimization of multi-agent controlstrategies for electric vehicle charging.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Integration of flexible interfaces in optimization software frameworks for simulation-based optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Overfitting detection and adaptive covariant parsimony pressure for symbolic regression.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Macro-economic Time Series Modeling and Interaction Networks.
Proceedings of the Applications of Evolutionary Computation, 2011

Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset.
Proceedings of the Applications of Evolutionary Computation, 2011

Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Optimization of Parameter Settings for Genetic Algorithms in Music Segmentation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Comprehensive and Automatic Fitness Landscape Analysis Using HeuristicLab.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Parameter Meta-optimization of Metaheuristic Optimization Algorithms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Market Basket Analysis of Retail Data: Supervised Learning Approach.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Heuristic Power Scheduling of Electric Vehicle Battery Charging Based on Discrete Event Simulation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Fitness Landscape Analysis of a Simulation Optimisation Problems with HeuristicLab.
Proceedings of the UKSim 5th European Symposium on Computer Modeling and Simulation, 2011

Lower bounds for single machine subproblems occurring in weighted tardiness oriented shifting bottleneck procedures.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Scheduling, 2011

2010
Effective allele preservation by offspring selection: an empirical study for the TSP.
Int. J. Simul. Process. Model., 2010

Overview: A Simulation Based Metaheuristic Optimization Approach to Optimal Power Dispatch Related to a Smart Electric Grid.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Classification of tumor marker values using heuristic data mining methods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis.
Genet. Program. Evolvable Mach., 2009

Coupling Simulation with HeuristicLab to Solve Facility Layout Problems.
Proceedings of the 2009 Winter Simulation Conference, 2009

Fine grained population diversity analysis for parallel genetic programming.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

About the dynamics of essential genetic information: an empirical analysis for selected GA-variants.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

On Crossover Success Rate in Genetic Programming with Offspring Selection.
Proceedings of the Genetic Programming, 12th European Conference, 2009

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification.
Proceedings of the Computer Aided Systems Theory, 2009

Model Driven Rapid Prototyping of Heuristic Optimization Algorithms.
Proceedings of the Computer Aided Systems Theory, 2009

Using Heuristic Optimization for Segmentation of Symbolic Music.
Proceedings of the Computer Aided Systems Theory, 2009

On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization.
Proceedings of the Computer Aided Systems Theory, 2009

On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.
Proceedings of the Computer Aided Systems Theory, 2009

Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs.
Proceedings of the Computer Aided Systems Theory, 2009

Heuristic Methods for Searching and Clustering Hierarchical Workflows.
Proceedings of the Computer Aided Systems Theory, 2009

Evolutionary Selection in Simulation-Based Optimization.
Proceedings of the Computer Aided Systems Theory, 2009

On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory, 2009

Music Segmentation With Genetic Algorithms.
Proceedings of the Database and Expert Systems Applications, 2009

Metaheuristic Optimization.
Proceedings of the Hagenberg Research, 2009

Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications.
CRC Press, ISBN: 978-1-58488-629-7, 2009

2008
A genetic programming approach to solve scheduling problems with parallel simulation.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Fine-grained population diversity estimation for genetic programming based structure identification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Advanced Genetic Programming Based Machine Learning.
J. Math. Model. Algorithms, 2007

Online modelling based on Genetic Programming.
Int. J. Intell. Syst. Technol. Appl., 2007

Aspects of adaptation in natural and artificial evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification.
Proceedings of the Computer Aided Systems Theory, 2007

Benefits of Plugin-Based Heuristic Optimization Software Systems.
Proceedings of the Computer Aided Systems Theory, 2007

Optimization Methods for Large-Scale Production Scheduling Problems.
Proceedings of the Computer Aided Systems Theory, 2007

Self-adaptive Population Size Adjustment for Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory, 2007

2006
Advances in applying genetic programming to machine learning, focussing on classification problems.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
The Allele Meta-model - Developing a Common Language for Genetic Algorithms.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

GA-Selection Revisited from an ES-Driven Point of View.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Goal-oriented preservation of essential genetic information by offspring selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

On-Line Modelling Based on Genetic Programming.
Proceedings of the International Workshop on Automatic Learning and Real-Time, 2005

2004
SASEGASA: A New Generic Parallel Evolutionary Algorithm for Achieving Highest Quality Results.
J. Heuristics, 2004

2003
SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-adaptive Selection Pressure Steering.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Agent-based Problem Solving: The Ant Colonies Metaphor.
Proceedings of the iiWAS'2003, 2003

A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory, 2003

2002
New Generic Hybrids Based upon Genetic Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Segregative Genetic Algorithms (SEGA): A hybrid superstructure upwards compatible to genetic algorithms for retarding premature convergence.
Int. J. Comput. Syst. Signals, 2001

A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA).
Proceedings of the Connectionist Models of Neurons, 2001

On CAST.FSM Computation of Hierarchical Multi-layer Networks of Automata.
Proceedings of the Computer Aided Systems Theory, 2001


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