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You searched for subject:(Genetic programming). Showing records 1 – 30 of 510 total matches.

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Victoria University of Wellington

1. Downey, Carlton. Explorations in Parallel Linear Genetic Programming.

Degree: 2011, Victoria University of Wellington

 Linear Genetic Programming (LGP) is a powerful problem-solving technique, but one with several significant weaknesses. LGP programs consist of a linear sequence of instructions, where… (more)

Subjects/Keywords: Genetic programming

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APA (6th Edition):

Downey, C. (2011). Explorations in Parallel Linear Genetic Programming. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2312

Chicago Manual of Style (16th Edition):

Downey, Carlton. “Explorations in Parallel Linear Genetic Programming.” 2011. Masters Thesis, Victoria University of Wellington. Accessed September 24, 2020. http://hdl.handle.net/10063/2312.

MLA Handbook (7th Edition):

Downey, Carlton. “Explorations in Parallel Linear Genetic Programming.” 2011. Web. 24 Sep 2020.

Vancouver:

Downey C. Explorations in Parallel Linear Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10063/2312.

Council of Science Editors:

Downey C. Explorations in Parallel Linear Genetic Programming. [Masters Thesis]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/2312


University of Hawaii – Manoa

2. Nakatsu, Jill Sachie Kobashigawa. Genetic programming applications in electromagnetics.

Degree: 2016, University of Hawaii – Manoa

M.S. University of Hawaii at Manoa 2012.

This thesis considers the application of Genetic Programming (GP) to create computer programs that can solve both classification… (more)

Subjects/Keywords: genetic programming; electromagnetics

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APA (6th Edition):

Nakatsu, J. S. K. (2016). Genetic programming applications in electromagnetics. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/101315

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):

Nakatsu, Jill Sachie Kobashigawa. “Genetic programming applications in electromagnetics.” 2016. Thesis, University of Hawaii – Manoa. Accessed September 24, 2020. http://hdl.handle.net/10125/101315.

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

MLA Handbook (7th Edition):

Nakatsu, Jill Sachie Kobashigawa. “Genetic programming applications in electromagnetics.” 2016. Web. 24 Sep 2020.

Vancouver:

Nakatsu JSK. Genetic programming applications in electromagnetics. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10125/101315.

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

Council of Science Editors:

Nakatsu JSK. Genetic programming applications in electromagnetics. [Thesis]. University of Hawaii – Manoa; 2016. Available from: http://hdl.handle.net/10125/101315

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


Universidade Nova

3. Scott, Kristen Marie. A multiple expression alignment framework for genetic programming.

Degree: 2018, Universidade Nova

 Alignment in the error space is a recent idea to exploit semantic awareness in genetic programming. In a previous contribution, the concepts of optimally aligned… (more)

Subjects/Keywords: Genetic Programming; Geometric Semantic Genetic Programming; Error Space Genetic Programming

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APA (6th Edition):

Scott, K. M. (2018). A multiple expression alignment framework for genetic programming. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/40749

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, Kristen Marie. “A multiple expression alignment framework for genetic programming.” 2018. Thesis, Universidade Nova. Accessed September 24, 2020. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/40749.

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

MLA Handbook (7th Edition):

Scott, Kristen Marie. “A multiple expression alignment framework for genetic programming.” 2018. Web. 24 Sep 2020.

Vancouver:

Scott KM. A multiple expression alignment framework for genetic programming. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2020 Sep 24]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/40749.

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

Council of Science Editors:

Scott KM. A multiple expression alignment framework for genetic programming. [Thesis]. Universidade Nova; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/40749

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


University of KwaZulu-Natal

4. Ragalo, Anisa Waganda. Evolving dynamic fitness measures for genetic programming.

Degree: 2018, University of KwaZulu-Natal

 This research proposes dynamic fitness measure genetic programming (DFMGP). DFMGP modifies the conventional genetic programming (GP) approach: rather than applying a single fitness measure individually… (more)

Subjects/Keywords: Genetic programming.; Programming.; Dynamic fitness measure genetic programming.

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

APA (6th Edition):

Ragalo, A. W. (2018). Evolving dynamic fitness measures for genetic programming. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/18092

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):

Ragalo, Anisa Waganda. “Evolving dynamic fitness measures for genetic programming.” 2018. Thesis, University of KwaZulu-Natal. Accessed September 24, 2020. https://researchspace.ukzn.ac.za/handle/10413/18092.

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

MLA Handbook (7th Edition):

Ragalo, Anisa Waganda. “Evolving dynamic fitness measures for genetic programming.” 2018. Web. 24 Sep 2020.

Vancouver:

Ragalo AW. Evolving dynamic fitness measures for genetic programming. [Internet] [Thesis]. University of KwaZulu-Natal; 2018. [cited 2020 Sep 24]. Available from: https://researchspace.ukzn.ac.za/handle/10413/18092.

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

Council of Science Editors:

Ragalo AW. Evolving dynamic fitness measures for genetic programming. [Thesis]. University of KwaZulu-Natal; 2018. Available from: https://researchspace.ukzn.ac.za/handle/10413/18092

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


Victoria University of Wellington

5. Liang, Yuyu. Genetic Programming for Supervised Figure-ground Image Segmentation.

Degree: 2018, Victoria University of Wellington

 Figure-ground segmentation is a process of separating regions of interest from unimportant backgrounds. It is essential to various applications in computer vi- sion and image… (more)

Subjects/Keywords: Genetic programming; Segmentation; Feature

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

APA (6th Edition):

Liang, Y. (2018). Genetic Programming for Supervised Figure-ground Image Segmentation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6923

Chicago Manual of Style (16th Edition):

Liang, Yuyu. “Genetic Programming for Supervised Figure-ground Image Segmentation.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed September 24, 2020. http://hdl.handle.net/10063/6923.

MLA Handbook (7th Edition):

Liang, Yuyu. “Genetic Programming for Supervised Figure-ground Image Segmentation.” 2018. Web. 24 Sep 2020.

Vancouver:

Liang Y. Genetic Programming for Supervised Figure-ground Image Segmentation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10063/6923.

Council of Science Editors:

Liang Y. Genetic Programming for Supervised Figure-ground Image Segmentation. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/6923


Victoria University of Wellington

6. Chen, Qi. Improving the Generalisation of Genetic Programming for Symbolic Regression.

Degree: 2018, Victoria University of Wellington

 Symbolic regression (SR) is a function identification process, the task of which is to identify and express the relationship between the input and output variables… (more)

Subjects/Keywords: Genetic Programming; Symbolic regression; Generalisation

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APA (6th Edition):

Chen, Q. (2018). Improving the Generalisation of Genetic Programming for Symbolic Regression. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/7029

Chicago Manual of Style (16th Edition):

Chen, Qi. “Improving the Generalisation of Genetic Programming for Symbolic Regression.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed September 24, 2020. http://hdl.handle.net/10063/7029.

MLA Handbook (7th Edition):

Chen, Qi. “Improving the Generalisation of Genetic Programming for Symbolic Regression.” 2018. Web. 24 Sep 2020.

Vancouver:

Chen Q. Improving the Generalisation of Genetic Programming for Symbolic Regression. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10063/7029.

Council of Science Editors:

Chen Q. Improving the Generalisation of Genetic Programming for Symbolic Regression. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/7029


Victoria University of Wellington

7. Smart, Will. Empirical Analysis of Schemata in Genetic Programming.

Degree: 2011, Victoria University of Wellington

 Schemata and buiding blocks have been used in Genetic Programming (GP) in several contexts including subroutines, theoretical analysis and for empirical analysis. Of these three… (more)

Subjects/Keywords: Empirical analysis; Schemata; Genetic programming

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APA (6th Edition):

Smart, W. (2011). Empirical Analysis of Schemata in Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1826

Chicago Manual of Style (16th Edition):

Smart, Will. “Empirical Analysis of Schemata in Genetic Programming.” 2011. Doctoral Dissertation, Victoria University of Wellington. Accessed September 24, 2020. http://hdl.handle.net/10063/1826.

MLA Handbook (7th Edition):

Smart, Will. “Empirical Analysis of Schemata in Genetic Programming.” 2011. Web. 24 Sep 2020.

Vancouver:

Smart W. Empirical Analysis of Schemata in Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2011. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10063/1826.

Council of Science Editors:

Smart W. Empirical Analysis of Schemata in Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/1826


Victoria University of Wellington

8. Nguyen, Su. Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming.

Degree: 2013, Victoria University of Wellington

 Scheduling is an important planning activity in manufacturing systems to help optimise the usage of scarce resources and improve the customer satisfaction. In the job… (more)

Subjects/Keywords: Genetic programming; Scheduling; Heuristic

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APA (6th Edition):

Nguyen, S. (2013). Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3018

Chicago Manual of Style (16th Edition):

Nguyen, Su. “Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming.” 2013. Doctoral Dissertation, Victoria University of Wellington. Accessed September 24, 2020. http://hdl.handle.net/10063/3018.

MLA Handbook (7th Edition):

Nguyen, Su. “Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming.” 2013. Web. 24 Sep 2020.

Vancouver:

Nguyen S. Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2013. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10063/3018.

Council of Science Editors:

Nguyen S. Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2013. Available from: http://hdl.handle.net/10063/3018


Victoria University of Wellington

9. Hunt, Rachel. Genetic Programming Hyper-heuristics for Job Shop Scheduling.

Degree: 2016, Victoria University of Wellington

 Scheduling problems arise whenever there is a choice of order in which a number of tasks should be performed; they arise commonly, daily and everywhere.… (more)

Subjects/Keywords: Genetic Programming; Hyper-heuristics; Scheduling

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APA (6th Edition):

Hunt, R. (2016). Genetic Programming Hyper-heuristics for Job Shop Scheduling. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5219

Chicago Manual of Style (16th Edition):

Hunt, Rachel. “Genetic Programming Hyper-heuristics for Job Shop Scheduling.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed September 24, 2020. http://hdl.handle.net/10063/5219.

MLA Handbook (7th Edition):

Hunt, Rachel. “Genetic Programming Hyper-heuristics for Job Shop Scheduling.” 2016. Web. 24 Sep 2020.

Vancouver:

Hunt R. Genetic Programming Hyper-heuristics for Job Shop Scheduling. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10063/5219.

Council of Science Editors:

Hunt R. Genetic Programming Hyper-heuristics for Job Shop Scheduling. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5219

10. Frade, Miguel. Genetic terrain programming.

Degree: 2008, Instituto Politécnico de Leiria

Dissertação apresentada à Universidad de Extremadura para obtenção do Diploma de Estudios Avanzados, orientada por Francisco Fernandéz de Vega e Carlos Cotta.

Nowadays there are… (more)

Subjects/Keywords: Genetic terrain programming; Terrain generator

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APA (6th Edition):

Frade, M. (2008). Genetic terrain programming. (Thesis). Instituto Politécnico de Leiria. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/72

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):

Frade, Miguel. “Genetic terrain programming.” 2008. Thesis, Instituto Politécnico de Leiria. Accessed September 24, 2020. http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/72.

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

MLA Handbook (7th Edition):

Frade, Miguel. “Genetic terrain programming.” 2008. Web. 24 Sep 2020.

Vancouver:

Frade M. Genetic terrain programming. [Internet] [Thesis]. Instituto Politécnico de Leiria; 2008. [cited 2020 Sep 24]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/72.

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

Council of Science Editors:

Frade M. Genetic terrain programming. [Thesis]. Instituto Politécnico de Leiria; 2008. Available from: http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/72

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


University of Limerick

11. Nicolau, Miguel. Genetic Algorithms using Grammatical Evolution.

Degree: 2017, University of Limerick

This thesis proposes a new representation for genetic algorithms, based on the idea of a genotype to phenotype mapping process. It allows the explicit encoding… (more)

Subjects/Keywords: Genetic programming; Grammatical evolution

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APA (6th Edition):

Nicolau, M. (2017). Genetic Algorithms using Grammatical Evolution. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10197/8262

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):

Nicolau, Miguel. “Genetic Algorithms using Grammatical Evolution.” 2017. Thesis, University of Limerick. Accessed September 24, 2020. http://hdl.handle.net/10197/8262.

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

MLA Handbook (7th Edition):

Nicolau, Miguel. “Genetic Algorithms using Grammatical Evolution.” 2017. Web. 24 Sep 2020.

Vancouver:

Nicolau M. Genetic Algorithms using Grammatical Evolution. [Internet] [Thesis]. University of Limerick; 2017. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10197/8262.

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

Council of Science Editors:

Nicolau M. Genetic Algorithms using Grammatical Evolution. [Thesis]. University of Limerick; 2017. Available from: http://hdl.handle.net/10197/8262

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


Delft University of Technology

12. van Ramshorst, Justus (author). Genetic Programming in Hydrology: Using genetic programming in conceptual modelling.

Degree: 2017, Delft University of Technology

This report introduces the use of Genetic Programming (GP) into hydrology by describing the results of GP using conceptual hydrological models as physical representation. First… (more)

Subjects/Keywords: Genetic programming; Conceptual modelling; Hydrology

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APA (6th Edition):

van Ramshorst, J. (. (2017). Genetic Programming in Hydrology: Using genetic programming in conceptual modelling. (Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e1c648c7-a28f-4a9f-be20-22cc6c2c80eb

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):

van Ramshorst, Justus (author). “Genetic Programming in Hydrology: Using genetic programming in conceptual modelling.” 2017. Thesis, Delft University of Technology. Accessed September 24, 2020. http://resolver.tudelft.nl/uuid:e1c648c7-a28f-4a9f-be20-22cc6c2c80eb.

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

MLA Handbook (7th Edition):

van Ramshorst, Justus (author). “Genetic Programming in Hydrology: Using genetic programming in conceptual modelling.” 2017. Web. 24 Sep 2020.

Vancouver:

van Ramshorst J(. Genetic Programming in Hydrology: Using genetic programming in conceptual modelling. [Internet] [Thesis]. Delft University of Technology; 2017. [cited 2020 Sep 24]. Available from: http://resolver.tudelft.nl/uuid:e1c648c7-a28f-4a9f-be20-22cc6c2c80eb.

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

Council of Science Editors:

van Ramshorst J(. Genetic Programming in Hydrology: Using genetic programming in conceptual modelling. [Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:e1c648c7-a28f-4a9f-be20-22cc6c2c80eb

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


University of Limerick

13. Hogan, Damien. Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices.

Degree: 2013, University of Limerick

peer-reviewed

The central hypothesis of this thesis is that it is possible to use a supervised machine learning technique, Genetic Programming (GP), to make accurate… (more)

Subjects/Keywords: genetic programming; GP; data

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

APA (6th Edition):

Hogan, D. (2013). Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/4875

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):

Hogan, Damien. “Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices.” 2013. Thesis, University of Limerick. Accessed September 24, 2020. http://hdl.handle.net/10344/4875.

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

MLA Handbook (7th Edition):

Hogan, Damien. “Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices.” 2013. Web. 24 Sep 2020.

Vancouver:

Hogan D. Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices. [Internet] [Thesis]. University of Limerick; 2013. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10344/4875.

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

Council of Science Editors:

Hogan D. Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices. [Thesis]. University of Limerick; 2013. Available from: http://hdl.handle.net/10344/4875

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


University of Limerick

14. Medernach, David. Comparative study of effects of fitness landscape changes in open-ended evolutionary simulations and in genetic programming.

Degree: 2017, University of Limerick

peer-reviewed

Charles Darwin introduced the theory of evolution by natural selection in [Darwin and Wallace, 1858], and since that time the concept has remained unchanged… (more)

Subjects/Keywords: genetic programming; artificial life; ecosystems

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APA (6th Edition):

Medernach, D. (2017). Comparative study of effects of fitness landscape changes in open-ended evolutionary simulations and in genetic programming. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/6103

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):

Medernach, David. “Comparative study of effects of fitness landscape changes in open-ended evolutionary simulations and in genetic programming.” 2017. Thesis, University of Limerick. Accessed September 24, 2020. http://hdl.handle.net/10344/6103.

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

MLA Handbook (7th Edition):

Medernach, David. “Comparative study of effects of fitness landscape changes in open-ended evolutionary simulations and in genetic programming.” 2017. Web. 24 Sep 2020.

Vancouver:

Medernach D. Comparative study of effects of fitness landscape changes in open-ended evolutionary simulations and in genetic programming. [Internet] [Thesis]. University of Limerick; 2017. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10344/6103.

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

Council of Science Editors:

Medernach D. Comparative study of effects of fitness landscape changes in open-ended evolutionary simulations and in genetic programming. [Thesis]. University of Limerick; 2017. Available from: http://hdl.handle.net/10344/6103

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


Ryerson University

15. Jirasek, Lubomir. A genetic algorithm based partition generation and optimization method for finite element problems.

Degree: 2009, Ryerson University

 A two-step partitioning algorithm for FE meshes is proposed in this work for the purposes of time savings. A direct method based on the concept… (more)

Subjects/Keywords: Genetic algorithms; Genetic programming (Computer science)

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APA (6th Edition):

Jirasek, L. (2009). A genetic algorithm based partition generation and optimization method for finite element problems. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1387

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):

Jirasek, Lubomir. “A genetic algorithm based partition generation and optimization method for finite element problems.” 2009. Thesis, Ryerson University. Accessed September 24, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A1387.

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

MLA Handbook (7th Edition):

Jirasek, Lubomir. “A genetic algorithm based partition generation and optimization method for finite element problems.” 2009. Web. 24 Sep 2020.

Vancouver:

Jirasek L. A genetic algorithm based partition generation and optimization method for finite element problems. [Internet] [Thesis]. Ryerson University; 2009. [cited 2020 Sep 24]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1387.

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

Council of Science Editors:

Jirasek L. A genetic algorithm based partition generation and optimization method for finite element problems. [Thesis]. Ryerson University; 2009. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1387

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


Ryerson University

16. Gebremariam, Michael. Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm.

Degree: 2010, Ryerson University

 The objective of this project is to develop a software tool which assists in comparison of a work known as "M-GenESys: Multi Structure Genetic Algorithm… (more)

Subjects/Keywords: Genetic programming (Computer science); Genetic algorithms

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APA (6th Edition):

Gebremariam, M. (2010). Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6075

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):

Gebremariam, Michael. “Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm.” 2010. Thesis, Ryerson University. Accessed September 24, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A6075.

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

MLA Handbook (7th Edition):

Gebremariam, Michael. “Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm.” 2010. Web. 24 Sep 2020.

Vancouver:

Gebremariam M. Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm. [Internet] [Thesis]. Ryerson University; 2010. [cited 2020 Sep 24]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6075.

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

Council of Science Editors:

Gebremariam M. Implementation of integrated design space exploration of scheduling, allocation and binding in high level synthesis using multi structure genetic algorithm. [Thesis]. Ryerson University; 2010. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6075

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


University of KwaZulu-Natal

17. Igwe, Kevin Chizoba. A study of genetic programming and grammatical evolution for automatic object-oriented programming.

Degree: 2016, University of KwaZulu-Natal

 Manual programming is time consuming and challenging for a complex problem. For efficiency of the manual programming process, human programmers adopt the object-oriented approach to… (more)

Subjects/Keywords: Genetic programming.; Grammatical evolution.; Automatic programming.; Object-oriented programming.

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APA (6th Edition):

Igwe, K. C. (2016). A study of genetic programming and grammatical evolution for automatic object-oriented programming. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/14500

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):

Igwe, Kevin Chizoba. “A study of genetic programming and grammatical evolution for automatic object-oriented programming.” 2016. Thesis, University of KwaZulu-Natal. Accessed September 24, 2020. http://hdl.handle.net/10413/14500.

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

MLA Handbook (7th Edition):

Igwe, Kevin Chizoba. “A study of genetic programming and grammatical evolution for automatic object-oriented programming.” 2016. Web. 24 Sep 2020.

Vancouver:

Igwe KC. A study of genetic programming and grammatical evolution for automatic object-oriented programming. [Internet] [Thesis]. University of KwaZulu-Natal; 2016. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10413/14500.

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

Council of Science Editors:

Igwe KC. A study of genetic programming and grammatical evolution for automatic object-oriented programming. [Thesis]. University of KwaZulu-Natal; 2016. Available from: http://hdl.handle.net/10413/14500

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


University of Stirling

18. Oaken, David R. Optimisation of definition structures & parameter values in process algebra models using evolutionary computation.

Degree: PhD, 2014, University of Stirling

 Process Algebras are a Formal Modelling methodology which are an effective tool for defining models of complex systems, particularly those involving multiple interacting processes. However,… (more)

Subjects/Keywords: 519.7; genetic algorithms; process algebra; genetic programming; optimisation; Algebra; Genetic programming (Computer science)

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

APA (6th Edition):

Oaken, D. R. (2014). Optimisation of definition structures & parameter values in process algebra models using evolutionary computation. (Doctoral Dissertation). University of Stirling. Retrieved from http://hdl.handle.net/1893/21206

Chicago Manual of Style (16th Edition):

Oaken, David R. “Optimisation of definition structures & parameter values in process algebra models using evolutionary computation.” 2014. Doctoral Dissertation, University of Stirling. Accessed September 24, 2020. http://hdl.handle.net/1893/21206.

MLA Handbook (7th Edition):

Oaken, David R. “Optimisation of definition structures & parameter values in process algebra models using evolutionary computation.” 2014. Web. 24 Sep 2020.

Vancouver:

Oaken DR. Optimisation of definition structures & parameter values in process algebra models using evolutionary computation. [Internet] [Doctoral dissertation]. University of Stirling; 2014. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/1893/21206.

Council of Science Editors:

Oaken DR. Optimisation of definition structures & parameter values in process algebra models using evolutionary computation. [Doctoral Dissertation]. University of Stirling; 2014. Available from: http://hdl.handle.net/1893/21206


Brno University of Technology

19. Minařík, Miloš. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.

Degree: 2020, Brno University of Technology

 During the last years cartesian genetic programming proved to be a very perspective area of the evolutionary computing. However it has its limitations, which make… (more)

Subjects/Keywords: evoluce; genetické programování; kartézské genetické programování; sebemodifikující kartézské genetické programování; evolution; genetic programming; cartesian genetic programming; self-modifying cartesian genetic programming

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

APA (6th Edition):

Minařík, M. (2020). Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189849

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):

Minařík, Miloš. “Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.” 2020. Thesis, Brno University of Technology. Accessed September 24, 2020. http://hdl.handle.net/11012/189849.

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

MLA Handbook (7th Edition):

Minařík, Miloš. “Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.” 2020. Web. 24 Sep 2020.

Vancouver:

Minařík M. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/11012/189849.

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

Council of Science Editors:

Minařík M. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189849

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


Brno University of Technology

20. Minařík, Miloš. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.

Degree: 2019, Brno University of Technology

 During the last years cartesian genetic programming proved to be a very perspective area of the evolutionary computing. However it has its limitations, which make… (more)

Subjects/Keywords: evoluce; genetické programování; kartézské genetické programování; sebemodifikující kartézské genetické programování; evolution; genetic programming; cartesian genetic programming; self-modifying cartesian genetic programming

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

APA (6th Edition):

Minařík, M. (2019). Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54257

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):

Minařík, Miloš. “Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.” 2019. Thesis, Brno University of Technology. Accessed September 24, 2020. http://hdl.handle.net/11012/54257.

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

MLA Handbook (7th Edition):

Minařík, Miloš. “Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.” 2019. Web. 24 Sep 2020.

Vancouver:

Minařík M. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/11012/54257.

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

Council of Science Editors:

Minařík M. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54257

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


Brno University of Technology

21. Minařík, Miloš. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.

Degree: 2020, Brno University of Technology

 During the last years cartesian genetic programming proved to be a very perspective area of the evolutionary computing. However it has its limitations, which make… (more)

Subjects/Keywords: evoluce; genetické programování; kartézské genetické programování; sebemodifikující kartézské genetické programování; evolution; genetic programming; cartesian genetic programming; self-modifying cartesian genetic programming

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

APA (6th Edition):

Minařík, M. (2020). Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188681

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):

Minařík, Miloš. “Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.” 2020. Thesis, Brno University of Technology. Accessed September 24, 2020. http://hdl.handle.net/11012/188681.

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

MLA Handbook (7th Edition):

Minařík, Miloš. “Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming.” 2020. Web. 24 Sep 2020.

Vancouver:

Minařík M. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/11012/188681.

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

Council of Science Editors:

Minařík M. Sebemodifikující se programy v kartézském genetickém programování: Self-Modifying Programs in Cartesian Genetic Programming. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188681

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


Dalhousie University

22. Atwater, Aaron. Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data.

Degree: Master of Computer Science, Faculty of Computer Science, 2013, Dalhousie University

Hyperref'd copy available at: https://web.cs.dal.ca/~atwater/

Classification under streaming data constraints implies that training must be performed continuously, can only access individual exemplars for a short… (more)

Subjects/Keywords: computer science; genetic programming; machine learning; classification

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

APA (6th Edition):

Atwater, A. (2013). Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/35358

Chicago Manual of Style (16th Edition):

Atwater, Aaron. “Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data.” 2013. Masters Thesis, Dalhousie University. Accessed September 24, 2020. http://hdl.handle.net/10222/35358.

MLA Handbook (7th Edition):

Atwater, Aaron. “Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data.” 2013. Web. 24 Sep 2020.

Vancouver:

Atwater A. Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10222/35358.

Council of Science Editors:

Atwater A. Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data. [Masters Thesis]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/35358


Dalhousie University

23. Rahimi, Sara. Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming.

Degree: Master of Computer Science, Faculty of Computer Science, 2013, Dalhousie University

 Classification under streaming data conditions requires that the machine learning approach operate interactively with the stream content. Thus, given some initial machine learning classification capability,… (more)

Subjects/Keywords: Change Detection; Streaming Data; Genetic Programming

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

APA (6th Edition):

Rahimi, S. (2013). Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/35420

Chicago Manual of Style (16th Edition):

Rahimi, Sara. “Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming.” 2013. Masters Thesis, Dalhousie University. Accessed September 24, 2020. http://hdl.handle.net/10222/35420.

MLA Handbook (7th Edition):

Rahimi, Sara. “Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming.” 2013. Web. 24 Sep 2020.

Vancouver:

Rahimi S. Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10222/35420.

Council of Science Editors:

Rahimi S. Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming. [Masters Thesis]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/35420

24. Brameier, Markus. On linear genetic programming.

Degree: 2004, Universität Dortmund

 The thesis is about linear genetic programming (LGP), a machine learning approach that evolves computer programs as sequences of imperative instructions. Two fundamental differences to… (more)

Subjects/Keywords: Evolutionary algorithms; Genetic programming; Machine learning; 004

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APA (6th Edition):

Brameier, M. (2004). On linear genetic programming. (Thesis). Universität Dortmund. Retrieved from http://hdl.handle.net/2003/20098

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):

Brameier, Markus. “On linear genetic programming.” 2004. Thesis, Universität Dortmund. Accessed September 24, 2020. http://hdl.handle.net/2003/20098.

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

MLA Handbook (7th Edition):

Brameier, Markus. “On linear genetic programming.” 2004. Web. 24 Sep 2020.

Vancouver:

Brameier M. On linear genetic programming. [Internet] [Thesis]. Universität Dortmund; 2004. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/2003/20098.

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

Council of Science Editors:

Brameier M. On linear genetic programming. [Thesis]. Universität Dortmund; 2004. Available from: http://hdl.handle.net/2003/20098

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


Ryerson University

25. Mahvarsayyad, Fereshteh. Texture classification using gene expression programming.

Degree: 2009, Ryerson University

 In computer vision, segmentation refers to the process of subdividing a digital image into constituent regions with homogeneity in some image characteristics. Image segmentation is… (more)

Subjects/Keywords: Genetic programming (Computer science); Visual texture recognition

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APA (6th Edition):

Mahvarsayyad, F. (2009). Texture classification using gene expression programming. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1873

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):

Mahvarsayyad, Fereshteh. “Texture classification using gene expression programming.” 2009. Thesis, Ryerson University. Accessed September 24, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A1873.

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

MLA Handbook (7th Edition):

Mahvarsayyad, Fereshteh. “Texture classification using gene expression programming.” 2009. Web. 24 Sep 2020.

Vancouver:

Mahvarsayyad F. Texture classification using gene expression programming. [Internet] [Thesis]. Ryerson University; 2009. [cited 2020 Sep 24]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1873.

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

Council of Science Editors:

Mahvarsayyad F. Texture classification using gene expression programming. [Thesis]. Ryerson University; 2009. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1873

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


Victoria University of Wellington

26. Ahmed, Soha. Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data.

Degree: 2015, Victoria University of Wellington

 Mass spectrometry (MS) is currently the most commonly used technology in biochemical research for proteomic analysis. The primary goal of proteomic profiling using mass spectrometry… (more)

Subjects/Keywords: Biomarker detection; Mass spectrometry; Genetic programming

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APA (6th Edition):

Ahmed, S. (2015). Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4913

Chicago Manual of Style (16th Edition):

Ahmed, Soha. “Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data.” 2015. Doctoral Dissertation, Victoria University of Wellington. Accessed September 24, 2020. http://hdl.handle.net/10063/4913.

MLA Handbook (7th Edition):

Ahmed, Soha. “Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data.” 2015. Web. 24 Sep 2020.

Vancouver:

Ahmed S. Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2015. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10063/4913.

Council of Science Editors:

Ahmed S. Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data. [Doctoral Dissertation]. Victoria University of Wellington; 2015. Available from: http://hdl.handle.net/10063/4913


University of Waikato

27. Liu, Liang. Linear Genetic Programming with Experience .

Degree: 2015, University of Waikato

 A novel method of using Machine Learning (ML) algorithms to improve the performance of Linear Genetic Programming (LGP) is studied. In this study, structures used… (more)

Subjects/Keywords: Linear Genetic Programming; Machine Learning; Symbolic Regression

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APA (6th Edition):

Liu, L. (2015). Linear Genetic Programming with Experience . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/9762

Chicago Manual of Style (16th Edition):

Liu, Liang. “Linear Genetic Programming with Experience .” 2015. Masters Thesis, University of Waikato. Accessed September 24, 2020. http://hdl.handle.net/10289/9762.

MLA Handbook (7th Edition):

Liu, Liang. “Linear Genetic Programming with Experience .” 2015. Web. 24 Sep 2020.

Vancouver:

Liu L. Linear Genetic Programming with Experience . [Internet] [Masters thesis]. University of Waikato; 2015. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10289/9762.

Council of Science Editors:

Liu L. Linear Genetic Programming with Experience . [Masters Thesis]. University of Waikato; 2015. Available from: http://hdl.handle.net/10289/9762


Hong Kong University of Science and Technology

28. Zhao, Shenyang. Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming.

Degree: 2011, Hong Kong University of Science and Technology

 By dividing the solution space into several subspaces and performing search restricted to individual subspace has the advantage that effort in one subspace will not… (more)

Subjects/Keywords: Genetic algorithms ; Programming (Mathematics) ; Evolutionary computation

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APA (6th Edition):

Zhao, S. (2011). Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7159 ; https://doi.org/10.14711/thesis-b1136617 ; http://repository.ust.hk/ir/bitstream/1783.1-7159/1/th_redirect.html

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):

Zhao, Shenyang. “Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed September 24, 2020. http://repository.ust.hk/ir/Record/1783.1-7159 ; https://doi.org/10.14711/thesis-b1136617 ; http://repository.ust.hk/ir/bitstream/1783.1-7159/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Zhao, Shenyang. “Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming.” 2011. Web. 24 Sep 2020.

Vancouver:

Zhao S. Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2020 Sep 24]. Available from: http://repository.ust.hk/ir/Record/1783.1-7159 ; https://doi.org/10.14711/thesis-b1136617 ; http://repository.ust.hk/ir/bitstream/1783.1-7159/1/th_redirect.html.

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

Council of Science Editors:

Zhao S. Exhaustive search by division of solution space into subspaces applied to genetic algorithms and genetic programming. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: http://repository.ust.hk/ir/Record/1783.1-7159 ; https://doi.org/10.14711/thesis-b1136617 ; http://repository.ust.hk/ir/bitstream/1783.1-7159/1/th_redirect.html

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


Texas State University – San Marcos

29. Mukka, Hari Santhosh Manikanta Kumar. Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms.

Degree: MS, Computer Science, 2014, Texas State University – San Marcos

 With the exponential increase in the amount of data humans are generating, there is a progressive need for developing effective high-speed data compression techniques. However,… (more)

Subjects/Keywords: Genetic; Exhaustive; Computer science; Algorithms; Programming (Mathematics)

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APA (6th Edition):

Mukka, H. S. M. K. (2014). Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/5379

Chicago Manual of Style (16th Edition):

Mukka, Hari Santhosh Manikanta Kumar. “Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms.” 2014. Masters Thesis, Texas State University – San Marcos. Accessed September 24, 2020. https://digital.library.txstate.edu/handle/10877/5379.

MLA Handbook (7th Edition):

Mukka, Hari Santhosh Manikanta Kumar. “Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms.” 2014. Web. 24 Sep 2020.

Vancouver:

Mukka HSMK. Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms. [Internet] [Masters thesis]. Texas State University – San Marcos; 2014. [cited 2020 Sep 24]. Available from: https://digital.library.txstate.edu/handle/10877/5379.

Council of Science Editors:

Mukka HSMK. Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms. [Masters Thesis]. Texas State University – San Marcos; 2014. Available from: https://digital.library.txstate.edu/handle/10877/5379


Victoria University of Wellington

30. Kinzett, Alan David. Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming.

Degree: 2011, Victoria University of Wellington

 In tree-based genetic programming (GP) there is a tendency for the program trees to increase in size from one generation to the next. If this… (more)

Subjects/Keywords: Computational intelligence; Genetic programming; Distributed artificial intelligence

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

APA (6th Edition):

Kinzett, A. D. (2011). Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1863

Chicago Manual of Style (16th Edition):

Kinzett, Alan David. “Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming.” 2011. Masters Thesis, Victoria University of Wellington. Accessed September 24, 2020. http://hdl.handle.net/10063/1863.

MLA Handbook (7th Edition):

Kinzett, Alan David. “Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming.” 2011. Web. 24 Sep 2020.

Vancouver:

Kinzett AD. Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2020 Sep 24]. Available from: http://hdl.handle.net/10063/1863.

Council of Science Editors:

Kinzett AD. Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming. [Masters Thesis]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/1863

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