Mark Hauschild

According to our database, Mark Hauschild authored at least 20 papers between 2007 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Automatic generation of domain-specific genetic algorithm operators using the hierarchical bayesian optimization algorithm.

Cezary Z. Janikow, Mark Hauschild

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2015

Estimation of Distribution Algorithms.

Martin Pelikan, Mark Hauschild, Fernando G. Lobo

Proceedings of the Springer Handbook of Computational Intelligence, 2015

2012

Using Previous Models to Bias Structural Learning in the Hierarchical BOA.

Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg

Evol. Comput., 2012

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA

Martin Pelikan, Mark Hauschild

CoRR, 2012

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA.

Martin Pelikan, Mark Hauschild, Pier Luca Lanzi

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

Distance-based bias in model-directed optimization of additively decomposable problems.

Martin Pelikan, Mark Hauschild

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Image segmentation using a genetic algorithm and hierarchical local search.

Mark Hauschild, Sanjiv K. Bhatia, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

An introduction and survey of estimation of distribution algorithms.

Mark Hauschild, Martin Pelikan

Swarm Evol. Comput., 2011

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

Martin Pelikan, Mark Hauschild, Dirk Thierens

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

Second order heuristics in ACGP.

Cezary Z. Janikow, John W. Aleshunas, Mark Hauschild

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

Advanced neighborhoods and problem difficulty measures.

Mark Hauschild, Martin Pelikan

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

2010

Performance of Network Crossover on NK Landscapes and Spin Glasses.

Mark Hauschild, Martin Pelikan

Proceedings of the Parallel Problem Solving from Nature, 2010

Network crossover performance on NK landscapes and deceptive problems.

Mark Hauschild, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

Analyzing Probabilistic Models in Hierarchical BOA.

Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima

IEEE Trans. Evol. Comput., 2009

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.

Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Intelligent bias of network structures in the hierarchical BOA.

Mark Hauschild, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Linkage Learning Accuracy in the Bayesian Optimization Algorithm.

Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild

Proceedings of the Linkage in Evolutionary Computation, 2008

Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions.

Mark Hauschild, Martin Pelikan

Proceedings of the Parallel Problem Solving from Nature, 2008

2007

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses.

Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Influence of selection and replacement strategies on linkage learning in BOA.

Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild

Proceedings of the IEEE Congress on Evolutionary Computation, 2007