Faculty

Institution

Unit

Venue

Mark Hauschild

Associate Teaching Professor

University of Missouri–St. Louis

Affiliations

Arts and Sciences

Computer Science

Mark Hauschild is currently serving as an Arts And Sciences Associate Teaching Professor at University of Missouri–St. Louis.

Honors

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Experiences

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Education

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Mark Hauschild

University of Missouri–St. Louis

Associate Teaching Professor

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machine learning computer science hierarchical boa applied mathematics genetic algorithms distribution algorithms nk landscapes behavioral sciences network analysis fish biology evolutionary computation estimation theory spin glasses statistics probability theory organizational behavior network science operational efficiency unmanned aerial vehicles computer vision mathematical optimization computational intelligence image segmentation algorithmic learning transfer learning linkage learning replacement strategies probabilistic models evolutionary algorithms tunable overlap nearest neighbor interactions problem-specific distance metrics network structures intelligent bias distance-based model restrictions network crossover performance deceptive problems

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automatic Generation of Domain-Specific Genetic Algorithm Operators Using the Hierarchical Bayesian Optimization Algorithm. Proceedings of the Genetic and Evolutionary Computation Conference (2017)

Cezary Z JanikowMark Hauschild

machine learninggenetic algorithmsevolutionary computationautomatic generationcomputer science

Estimation of Distribution Algorithms. Springer eBooks (2015)

Martin PelikanMark W. HauschildFernando G. Lobo

estimation theorystatisticsdistribution algorithmsmachine learning

Using Prior Knowledge and Learning From Experience in Estimation of Distribution Algorithms. (2013)

Cezary Z. JanikowMark Hauschild

distribution algorithmsexperiential learningprior knowledgedata sciencemachine learning

Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems. Annual Conference on Genetic and Evolutionary Computation (2012)

Martin PelikanMark W. Hauschild

machine learningmathematical optimizationdistance-based biasmodel-directed optimizationcomputer science

Image Segmentation Using a Genetic Algorithm and Hierarchical Local Search. Annual Conference on Genetic and Evolutionary Computation (2012)

Mark HauschildSanjiv BhatiaMartin Pelikan

machine learninggenetic algorithmsimage segmentationcomputer visionhierarchical local searchcomputer science

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical Boa. (2012)

Martin PelikanMark W. HauschildPier Luca Lanzi

hierarchical boasoft distance-based biasdata sciencetransfer learningmachine learning

Advanced Neighborhoods and Problem Difficulty Measures. Annual Conference on Genetic and Evolutionary Computation (2011)

Mark HauschildMartin Pelikan

community developmentproblem difficulty measuresadvanced neighborhoodsmachine learningbehavioral sciences

An Introduction and Survey of Estimation of Distribution Algorithms. Swarm and Evolutionary Computation (2011)

Mark HauschildMartin Pelikan

estimation theorydistribution algorithmsevolutionary computationapplied mathematics

Pairwise and Problem-Specific Distance Metrics in the Linkage Tree Genetic Algorithm. Annual Conference on Genetic and Evolutionary Computation (2011)

Martin PelikanMark W. HauschildDirk Thierens

computer sciencemachine learninggenetic algorithmsproblem-specific distance metrics

Second Order Heuristics in Acgp. Annual Conference on Genetic and Evolutionary Computation (2011)

Cezary Z. JanikowJohn AleshunasMark W. Hauschild

second order heuristicsmachine learningapplied mathematics

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10 / page

Mark Hauschild

Associate Teaching Professor

University of Missouri–St. Louis

Affiliations

Arts and Sciences

Computer Science

Mark Hauschild is currently serving as an Arts And Sciences Associate Teaching Professor at University of Missouri–St. Louis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mark Hauschild

University of Missouri–St. Louis

Associate Teaching Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automatic Generation of Domain-Specific Genetic Algorithm Operators Using the Hierarchical Bayesian Optimization Algorithm. Proceedings of the Genetic and Evolutionary Computation Conference (2017)

Cezary Z JanikowMark Hauschild

machine learninggenetic algorithmsevolutionary computationautomatic generationcomputer science

Estimation of Distribution Algorithms. Springer eBooks (2015)

Martin PelikanMark W. HauschildFernando G. Lobo

estimation theorystatisticsdistribution algorithmsmachine learning

Using Prior Knowledge and Learning From Experience in Estimation of Distribution Algorithms. (2013)

Cezary Z. JanikowMark Hauschild

distribution algorithmsexperiential learningprior knowledgedata sciencemachine learning

Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems. Annual Conference on Genetic and Evolutionary Computation (2012)

Martin PelikanMark W. Hauschild

machine learningmathematical optimizationdistance-based biasmodel-directed optimizationcomputer science

Image Segmentation Using a Genetic Algorithm and Hierarchical Local Search. Annual Conference on Genetic and Evolutionary Computation (2012)

Mark HauschildSanjiv BhatiaMartin Pelikan

machine learninggenetic algorithmsimage segmentationcomputer visionhierarchical local searchcomputer science

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical Boa. (2012)

Martin PelikanMark W. HauschildPier Luca Lanzi

hierarchical boasoft distance-based biasdata sciencetransfer learningmachine learning

Advanced Neighborhoods and Problem Difficulty Measures. Annual Conference on Genetic and Evolutionary Computation (2011)

Mark HauschildMartin Pelikan

community developmentproblem difficulty measuresadvanced neighborhoodsmachine learningbehavioral sciences

An Introduction and Survey of Estimation of Distribution Algorithms. Swarm and Evolutionary Computation (2011)

Mark HauschildMartin Pelikan

estimation theorydistribution algorithmsevolutionary computationapplied mathematics

Pairwise and Problem-Specific Distance Metrics in the Linkage Tree Genetic Algorithm. Annual Conference on Genetic and Evolutionary Computation (2011)

Martin PelikanMark W. HauschildDirk Thierens

computer sciencemachine learninggenetic algorithmsproblem-specific distance metrics

Second Order Heuristics in Acgp. Annual Conference on Genetic and Evolutionary Computation (2011)

Cezary Z. JanikowJohn AleshunasMark W. Hauschild

second order heuristicsmachine learningapplied mathematics

1
2
10 / page

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