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You searched for subject:(Linkage Tree). Showing records 1 – 4 of 4 total matches.

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Delft University of Technology

1. De Bokx, R. Parallelizing the Linkage Tree Genetic Algorithm and Searching for the Optimal Replacement for the Linkage Tree:.

Degree: 2015, Delft University of Technology

 The recently introduced Linkage Tree Genetic Algorithm (LTGA) has shown to exhibit excellent scalability on a variety of optimization problems. LTGA employs Linkage Trees (LTs)… (more)

Subjects/Keywords: parallel; optimization; modeling; LTGA; Linkage Tree; Linkage Tree Genetic Algorithm; model optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

De Bokx, R. (2015). Parallelizing the Linkage Tree Genetic Algorithm and Searching for the Optimal Replacement for the Linkage Tree:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6cf6c908-0f5d-4096-b3ad-aa96fd1ff382

Chicago Manual of Style (16th Edition):

De Bokx, R. “Parallelizing the Linkage Tree Genetic Algorithm and Searching for the Optimal Replacement for the Linkage Tree:.” 2015. Masters Thesis, Delft University of Technology. Accessed October 20, 2019. http://resolver.tudelft.nl/uuid:6cf6c908-0f5d-4096-b3ad-aa96fd1ff382.

MLA Handbook (7th Edition):

De Bokx, R. “Parallelizing the Linkage Tree Genetic Algorithm and Searching for the Optimal Replacement for the Linkage Tree:.” 2015. Web. 20 Oct 2019.

Vancouver:

De Bokx R. Parallelizing the Linkage Tree Genetic Algorithm and Searching for the Optimal Replacement for the Linkage Tree:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Oct 20]. Available from: http://resolver.tudelft.nl/uuid:6cf6c908-0f5d-4096-b3ad-aa96fd1ff382.

Council of Science Editors:

De Bokx R. Parallelizing the Linkage Tree Genetic Algorithm and Searching for the Optimal Replacement for the Linkage Tree:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:6cf6c908-0f5d-4096-b3ad-aa96fd1ff382


Missouri University of Science and Technology

2. Goldman, Brian Wesley. Robust evolutionary algorithms.

Degree: M.S. in Computer Science, Computer Science, Missouri University of Science and Technology

  "Evolutionary Algorithms (EAs) have shown great potential to solve complex real world problems, but their dependence on problem specific configuration in order to obtain… (more)

Subjects/Keywords: Linkage Tree Genetic Algorithm; Self-configuring crossover; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Goldman, B. W. (n.d.). Robust evolutionary algorithms. (Masters Thesis). Missouri University of Science and Technology. Retrieved from http://scholarsmine.mst.edu/masters_theses/5148

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Goldman, Brian Wesley. “Robust evolutionary algorithms.” Masters Thesis, Missouri University of Science and Technology. Accessed October 20, 2019. http://scholarsmine.mst.edu/masters_theses/5148.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Goldman, Brian Wesley. “Robust evolutionary algorithms.” Web. 20 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Goldman BW. Robust evolutionary algorithms. [Internet] [Masters thesis]. Missouri University of Science and Technology; [cited 2019 Oct 20]. Available from: http://scholarsmine.mst.edu/masters_theses/5148.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Goldman BW. Robust evolutionary algorithms. [Masters Thesis]. Missouri University of Science and Technology; Available from: http://scholarsmine.mst.edu/masters_theses/5148

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Southern Cross University

3. Scott, Leon J. Implications of evolutionary history and population structure for the analysis of quantitative trait loci in the ancient conifer Araucaria cunninghamii.

Degree: 2004, Southern Cross University

 Araucaria cunninghamii is an ancient tropical conifer with substantial value as a forestry species in Australia and Papua New Guinea, and has been subject to… (more)

Subjects/Keywords: Araucaria; hoop pine; forestry; tree breeding; evolution; population genetics; conifer; linkage map; genetic mapping; Ecology and Evolutionary Biology; Plant Breeding and Genetics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Scott, L. J. (2004). Implications of evolutionary history and population structure for the analysis of quantitative trait loci in the ancient conifer Araucaria cunninghamii. (Thesis). Southern Cross University. Retrieved from http://epubs.scu.edu.au/theses/52

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Scott, Leon J. “Implications of evolutionary history and population structure for the analysis of quantitative trait loci in the ancient conifer Araucaria cunninghamii.” 2004. Thesis, Southern Cross University. Accessed October 20, 2019. http://epubs.scu.edu.au/theses/52.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Scott, Leon J. “Implications of evolutionary history and population structure for the analysis of quantitative trait loci in the ancient conifer Araucaria cunninghamii.” 2004. Web. 20 Oct 2019.

Vancouver:

Scott LJ. Implications of evolutionary history and population structure for the analysis of quantitative trait loci in the ancient conifer Araucaria cunninghamii. [Internet] [Thesis]. Southern Cross University; 2004. [cited 2019 Oct 20]. Available from: http://epubs.scu.edu.au/theses/52.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Scott LJ. Implications of evolutionary history and population structure for the analysis of quantitative trait loci in the ancient conifer Araucaria cunninghamii. [Thesis]. Southern Cross University; 2004. Available from: http://epubs.scu.edu.au/theses/52

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

4. Chen, Carla Chia-Ming. Bayesian methodology for genetics of complex diseases.

Degree: 2010, Queensland University of Technology

 Genetic research of complex diseases is a challenging, but exciting, area of research. The early development of the research was limited, however, until the completion… (more)

Subjects/Keywords: Bayesian, statistics, genetics, phenotype analysis, complex diseases, complex etiology, model comparison, latent class analysis, grade of membership, fuzzy clustering, item response theory, migraine, twin study, heritability, genome-wide linkage analysis; deviance information criteria, model averaging, MCMC, genomewide association studies, epistasis, logistic regression, stochastic search algorithm, case-control studies, Type I diabetes, single nucleotide polymorphism, gene expression programming; logic tree, logicFS, Monte Carlo logic regression, genetic programming for association study, random forest, GENICA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, C. C. (2010). Bayesian methodology for genetics of complex diseases. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/43357/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Carla Chia-Ming. “Bayesian methodology for genetics of complex diseases.” 2010. Thesis, Queensland University of Technology. Accessed October 20, 2019. https://eprints.qut.edu.au/43357/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Carla Chia-Ming. “Bayesian methodology for genetics of complex diseases.” 2010. Web. 20 Oct 2019.

Vancouver:

Chen CC. Bayesian methodology for genetics of complex diseases. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2019 Oct 20]. Available from: https://eprints.qut.edu.au/43357/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen CC. Bayesian methodology for genetics of complex diseases. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/43357/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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