Dirk Thierens

Marjolein C. van der Meer

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme.

[BibT_eX]

[DOI]

Willem den Besten

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms.

[BibT_eX]

[DOI]

Ngoc Hoang Luong

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Learning and exploiting mixed variable dependencies with a model-based EA.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

In Search of Optimal Linkage Trees.

[BibT_eX]

[DOI]

Roy de Bokx

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Combining Model-Based EAs for Mixed-Integer Problems.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013

Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise.

[BibT_eX]

[DOI]

Evol. Comput., 2013

Hierarchical problem solving with the linkage tree genetic algorithm.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

On the usefulness of linkage processing for solving MAX-SAT.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

More concise and robust linkage learning by filtering and combining linkage hierarchies.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies.

[BibT_eX]

[DOI]

J. Heuristics, 2012

Evolvability Analysis of the Linkage Tree Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

On Measures to Build Linkage Trees in LTGA.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Learning the Neighborhood with the Linkage Tree Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Predetermined versus learned linkage models.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Linkage neighbors, optimal mixing and forced improvements in genetic algorithms.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Optimal mixing evolutionary algorithms.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm.

[BibT_eX]

[DOI]

Martin Pelikan

Mark Hauschild

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Generalized adaptive pursuit algorithm for genetic pareto local search algorithms.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms.

[BibT_eX]

[DOI]

Evol. Intell., 2010

Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs.

[BibT_eX]

[DOI]

Evol. Comput., 2010

The Linkage Tree Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2010

Path-Guided Mutation for Stochastic Pareto Local Search Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2010

Linkage tree genetic algorithm: first results.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

Adaptive Operator Selection for Iterated Local Search.

[BibT_eX]

[DOI]

Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009

On benchmark properties for adaptive operator selection.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

AMaLGaM IDEAs in noisy black-box optimization benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

AMaLGaM IDEAs in noiseless black-box optimization benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2008

A bivariate probabilistic model-building genetic algorithm for graph bipartitioning.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Adaptive Strategies for Operator Allocation.

[BibT_eX]

[DOI]

Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Exploration and Exploitation Bias of Crossover and Path Relinking for Permutation Problems.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2006

Multi-objective Optimization with the Naive $$ \mathbb{M} $$ ID $$ \mathbb{E} $$ A.

[BibT_eX]

[DOI]

Proceedings of the Towards a New Evolutionary Computation, 2006

2005

A generator for hierarchical problems.

[BibT_eX]

[DOI]

Richard A. Watson

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

The Naive MIDEA: A Baseline Multi-objective EA.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Recombinative EMCMC algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

An Adaptive Pursuit Strategy for Allocating Operator Probabilities.

[BibT_eX]

Proceedings of the BNAIC 2005, 2005

On the Complexity of Hierarchical Problem Solving.

[BibT_eX]

Richard A. Watson

Proceedings of the BNAIC 2005, 2005

2004

On the Design and Analysis of Competent Selecto-recombinative GAs.

[BibT_eX]

[DOI]

Evol. Comput., 2004

Hierarchical Genetic Algorithms.

[BibT_eX]

[DOI]

Richard A. Watson

Proceedings of the Parallel Problem Solving from Nature, 2004

On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2004

Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation, 2004

Exploiting Modularity, Hierarchy, and Repetition in Variable-Length Problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation, 2004

2003

The balance between proximity and diversity in multiobjective evolutionary algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2003

A Skeleton-Based Approach to Learning Bayesian Networks from Data.

[BibT_eX]

[DOI]

Linda C. van der Gaag

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Building a GA from Design Principles for Learning Bayesian Networks.

[BibT_eX]

[DOI]

Linda C. van der Gaag

Proceedings of the Genetic and Evolutionary Computation, 2003

Convergence Time Analysis for the Multi-objective Counting Ones Problem.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Evolutionary Markov Chain Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Artificial Evolution, 2003

2002

Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2002

Using Genetic Algorithms for Solving Hard Problems in GIS.

[BibT_eX]

[DOI]

GeoInformatica, 2002

Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2002

Adaptive mutation rate control schemes in genetic algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

Computation in Gene Expression.

[BibT_eX]

[DOI]

Hillol Kargupta

Complex Syst., 2001

2000

Scalability and Efficiency of Genetic Algorithms for Geometrical Applications.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2000

Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2000

1999

Scalability Problems of Simple Genetic Algorithms.

[BibT_eX]

[DOI]

Evol. Comput., 1999

On The Design of Genetic Algorithms for Geographical Applications.

[BibT_eX]

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Linkage Information Processing In Distribution Estimation Algorithms.

[BibT_eX]

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

A case study of a multiobjective recombinative genetic algorithm with coevolutionary sharing.

[BibT_eX]

[DOI]

Martijn Neef

Henryk F. R. Arciszewski

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997

Selection Schemes, Elitist Recombination, and Selection Intensity.

[BibT_eX]

Proceedings of the 7th International Conference on Genetic Algorithms, 1997

1996

Dimensional Analysis of Allele-Wise Mixing Revisited.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 1996

Non-Redundant Genetic Coding of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1994

Convergence Models of Genetic Algorithm Selection Schemes.

[BibT_eX]

[DOI]

David E. Goldberg

Proceedings of the Parallel Problem Solving from Nature, 1994

Elitist Recombination: An Integrated Selection Recombination GA.

[BibT_eX]

[DOI]

David E. Goldberg

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993

Mixing in Genetic Algorithms.

[BibT_eX]

David E. Goldberg

Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1990

A Topology Exploiting Genetic Algorithm to Control Dynamic Systems.

[BibT_eX]

[DOI]