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You searched for subject:(Genetic Programming). Showing records 1 – 30 of 440 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 February 19, 2020. http://hdl.handle.net/10063/2312.

MLA Handbook (7th Edition):

Downey, Carlton. “Explorations in Parallel Linear Genetic Programming.” 2011. Web. 19 Feb 2020.

Vancouver:

Downey C. Explorations in Parallel Linear Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2020 Feb 19]. 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 February 19, 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. 19 Feb 2020.

Vancouver:

Nakatsu JSK. Genetic programming applications in electromagnetics. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2020 Feb 19]. 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 February 19, 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. 19 Feb 2020.

Vancouver:

Scott KM. A multiple expression alignment framework for genetic programming. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2020 Feb 19]. 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 Georgia

4. Morris, Eric Allen. Fission: an evolutionary method for fuzzy learning.

Degree: MS, Artificial Intelligence, 2005, University of Georgia

 This paper presents an evolutionary method of con¯guring fuzzy inference systems, entitled FISSION (Fuzzy Inference System Setup by evolutION). The primary goal of FISSION is… (more)

Subjects/Keywords: Genetic Programming

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

APA (6th Edition):

Morris, E. A. (2005). Fission: an evolutionary method for fuzzy learning. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/morris_eric_a_200512_ms

Chicago Manual of Style (16th Edition):

Morris, Eric Allen. “Fission: an evolutionary method for fuzzy learning.” 2005. Masters Thesis, University of Georgia. Accessed February 19, 2020. http://purl.galileo.usg.edu/uga_etd/morris_eric_a_200512_ms.

MLA Handbook (7th Edition):

Morris, Eric Allen. “Fission: an evolutionary method for fuzzy learning.” 2005. Web. 19 Feb 2020.

Vancouver:

Morris EA. Fission: an evolutionary method for fuzzy learning. [Internet] [Masters thesis]. University of Georgia; 2005. [cited 2020 Feb 19]. Available from: http://purl.galileo.usg.edu/uga_etd/morris_eric_a_200512_ms.

Council of Science Editors:

Morris EA. Fission: an evolutionary method for fuzzy learning. [Masters Thesis]. University of Georgia; 2005. Available from: http://purl.galileo.usg.edu/uga_etd/morris_eric_a_200512_ms


University of Hawaii – Manoa

5. Rayno, Jennifer. Development and Application of Genetic Programming in the Design and Optimization of Ultra-Wideband 3D Metamaterials.

Degree: 2017, University of Hawaii – Manoa

Ph.D. University of Hawaii at Manoa 2016.

Metamaterials are materials with engineered characteristics and unique properties not naturally available, such as artificial magnetic conductors (AMC).… (more)

Subjects/Keywords: genetic programming; 3D metamaterial synthesis

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APA (6th Edition):

Rayno, J. (2017). Development and Application of Genetic Programming in the Design and Optimization of Ultra-Wideband 3D Metamaterials. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/51406

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):

Rayno, Jennifer. “Development and Application of Genetic Programming in the Design and Optimization of Ultra-Wideband 3D Metamaterials.” 2017. Thesis, University of Hawaii – Manoa. Accessed February 19, 2020. http://hdl.handle.net/10125/51406.

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

MLA Handbook (7th Edition):

Rayno, Jennifer. “Development and Application of Genetic Programming in the Design and Optimization of Ultra-Wideband 3D Metamaterials.” 2017. Web. 19 Feb 2020.

Vancouver:

Rayno J. Development and Application of Genetic Programming in the Design and Optimization of Ultra-Wideband 3D Metamaterials. [Internet] [Thesis]. University of Hawaii – Manoa; 2017. [cited 2020 Feb 19]. Available from: http://hdl.handle.net/10125/51406.

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

Council of Science Editors:

Rayno J. Development and Application of Genetic Programming in the Design and Optimization of Ultra-Wideband 3D Metamaterials. [Thesis]. University of Hawaii – Manoa; 2017. Available from: http://hdl.handle.net/10125/51406

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

6. 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 February 19, 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. 19 Feb 2020.

Vancouver:

Frade M. Genetic terrain programming. [Internet] [Thesis]. Instituto Politécnico de Leiria; 2008. [cited 2020 Feb 19]. 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


Victoria University of Wellington

7. 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 (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 February 19, 2020. http://hdl.handle.net/10063/6923.

MLA Handbook (7th Edition):

Liang, Yuyu. “Genetic Programming for Supervised Figure-ground Image Segmentation.” 2018. Web. 19 Feb 2020.

Vancouver:

Liang Y. Genetic Programming for Supervised Figure-ground Image Segmentation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2020 Feb 19]. 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

8. 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 February 19, 2020. http://hdl.handle.net/10063/7029.

MLA Handbook (7th Edition):

Chen, Qi. “Improving the Generalisation of Genetic Programming for Symbolic Regression.” 2018. Web. 19 Feb 2020.

Vancouver:

Chen Q. Improving the Generalisation of Genetic Programming for Symbolic Regression. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2020 Feb 19]. 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

9. 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 February 19, 2020. http://hdl.handle.net/10063/1826.

MLA Handbook (7th Edition):

Smart, Will. “Empirical Analysis of Schemata in Genetic Programming.” 2011. Web. 19 Feb 2020.

Vancouver:

Smart W. Empirical Analysis of Schemata in Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2011. [cited 2020 Feb 19]. 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

10. 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 February 19, 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. 19 Feb 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 Feb 19]. 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

11. 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 February 19, 2020. http://hdl.handle.net/10063/5219.

MLA Handbook (7th Edition):

Hunt, Rachel. “Genetic Programming Hyper-heuristics for Job Shop Scheduling.” 2016. Web. 19 Feb 2020.

Vancouver:

Hunt R. Genetic Programming Hyper-heuristics for Job Shop Scheduling. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2020 Feb 19]. 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


University of Limerick

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

Degree: 2013, University of Limerick

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

Subjects/Keywords: genetic programming; GP; data

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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 February 19, 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. 19 Feb 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 Feb 19]. 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

13. 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 February 19, 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. 19 Feb 2020.

Vancouver:

Nicolau M. Genetic Algorithms using Grammatical Evolution. [Internet] [Thesis]. University of Limerick; 2017. [cited 2020 Feb 19]. 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


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

 Charles Darwin introduced the theory of evolution by natural selection in [Darwin and Wallace, 1858], and since that time the concept has remained unchanged at… (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 February 19, 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. 19 Feb 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 Feb 19]. 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 February 19, 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. 19 Feb 2020.

Vancouver:

Jirasek L. A genetic algorithm based partition generation and optimization method for finite element problems. [Internet] [Thesis]. Ryerson University; 2009. [cited 2020 Feb 19]. 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 February 19, 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. 19 Feb 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 Feb 19]. 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 Stirling

17. 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: genetic algorithms; process algebra; genetic programming; optimisation; Genetic algorithms; Algebra; Genetic programming (Computer science); Optimisation

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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 February 19, 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. 19 Feb 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 Feb 19]. 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

18. Minařík, Miloš. Sebemodifikující se programy v kartézském genetickém programování .

Degree: 2010, Brno University of Technology

 Kartézské genetické programování se během posledních let ukázalo jako velmi perspektivní oblast evolučních výpočtů. Má však jistá omezení, která znemožňují řešit pomocí něj rozsáhlejší nebo… (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. (2010). Sebemodifikující se programy v kartézském genetickém programování . (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 .” 2010. Thesis, Brno University of Technology. Accessed February 19, 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 .” 2010. Web. 19 Feb 2020.

Vancouver:

Minařík M. Sebemodifikující se programy v kartézském genetickém programování . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2020 Feb 19]. 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 . [Thesis]. Brno University of Technology; 2010. 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


Dalhousie University

19. 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 February 19, 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. 19 Feb 2020.

Vancouver:

Atwater A. Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2020 Feb 19]. 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

20. 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 (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 February 19, 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. 19 Feb 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 Feb 19]. 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

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

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 February 19, 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. 19 Feb 2020.

Vancouver:

Brameier M. On linear genetic programming. [Internet] [Thesis]. Universität Dortmund; 2004. [cited 2020 Feb 19]. 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


Victoria University of Wellington

22. 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 (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 February 19, 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. 19 Feb 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 Feb 19]. 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


University of Hong Kong

23. 吕海利.; Lü, Haili. A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics.

Degree: PhD, 2011, University of Hong Kong

published_or_final_version

Industrial and Manufacturing Systems Engineering

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Huang, GQ.

Subjects/Keywords: Genetic algorithms.; Heuristic programming.; Production scheduling.

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APA (6th Edition):

吕海利.; Lü, H. (2011). A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics. (Doctoral Dissertation). University of Hong Kong. Retrieved from Lü, H. [吕海利]. (2011). A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4702901 ; http://dx.doi.org/10.5353/th_b4702901 ; http://hdl.handle.net/10722/144793

Chicago Manual of Style (16th Edition):

吕海利.; Lü, Haili. “A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics.” 2011. Doctoral Dissertation, University of Hong Kong. Accessed February 19, 2020. Lü, H. [吕海利]. (2011). A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4702901 ; http://dx.doi.org/10.5353/th_b4702901 ; http://hdl.handle.net/10722/144793.

MLA Handbook (7th Edition):

吕海利.; Lü, Haili. “A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics.” 2011. Web. 19 Feb 2020.

Vancouver:

吕海利.; Lü H. A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics. [Internet] [Doctoral dissertation]. University of Hong Kong; 2011. [cited 2020 Feb 19]. Available from: Lü, H. [吕海利]. (2011). A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4702901 ; http://dx.doi.org/10.5353/th_b4702901 ; http://hdl.handle.net/10722/144793.

Council of Science Editors:

吕海利.; Lü H. A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics. [Doctoral Dissertation]. University of Hong Kong; 2011. Available from: Lü, H. [吕海利]. (2011). A comparative study of assembly job shop scheduling using simulation, heuristics and meta-heuristics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4702901 ; http://dx.doi.org/10.5353/th_b4702901 ; http://hdl.handle.net/10722/144793


Brock University

24. Runka, Andrew. Genetic programming for the RoboCup Rescue Simulation System .

Degree: Department of Computer Science, 2011, Brock University

 The Robocup Rescue Simulation System (RCRSS) is a dynamic system of multi-agent interaction, simulating a large-scale urban disaster scenario. Teams of rescue agents are charged… (more)

Subjects/Keywords: Disasters; Emergency management; Genetic programming (Computer science)

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APA (6th Edition):

Runka, A. (2011). Genetic programming for the RoboCup Rescue Simulation System . (Thesis). Brock University. Retrieved from http://hdl.handle.net/10464/3184

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):

Runka, Andrew. “Genetic programming for the RoboCup Rescue Simulation System .” 2011. Thesis, Brock University. Accessed February 19, 2020. http://hdl.handle.net/10464/3184.

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

MLA Handbook (7th Edition):

Runka, Andrew. “Genetic programming for the RoboCup Rescue Simulation System .” 2011. Web. 19 Feb 2020.

Vancouver:

Runka A. Genetic programming for the RoboCup Rescue Simulation System . [Internet] [Thesis]. Brock University; 2011. [cited 2020 Feb 19]. Available from: http://hdl.handle.net/10464/3184.

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

Council of Science Editors:

Runka A. Genetic programming for the RoboCup Rescue Simulation System . [Thesis]. Brock University; 2011. Available from: http://hdl.handle.net/10464/3184

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 February 19, 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. 19 Feb 2020.

Vancouver:

Mahvarsayyad F. Texture classification using gene expression programming. [Internet] [Thesis]. Ryerson University; 2009. [cited 2020 Feb 19]. 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


Massey University

26. Ter-Sarkisov, Aram. Computational complexity of elitist population-based evolutionary algorithms.

Degree: PhD, Computer Science, 2012, Massey University

 Evolutionary Algorithms (EAs) are a modern heuristic algorithm that have proven efficiency on a large number of real-life problems. Despite the rich history of applications… (more)

Subjects/Keywords: Genetic algorithms; Evolutionary programming; Computer science

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

APA (6th Edition):

Ter-Sarkisov, A. (2012). Computational complexity of elitist population-based evolutionary algorithms. (Doctoral Dissertation). Massey University. Retrieved from http://hdl.handle.net/10179/4109

Chicago Manual of Style (16th Edition):

Ter-Sarkisov, Aram. “Computational complexity of elitist population-based evolutionary algorithms.” 2012. Doctoral Dissertation, Massey University. Accessed February 19, 2020. http://hdl.handle.net/10179/4109.

MLA Handbook (7th Edition):

Ter-Sarkisov, Aram. “Computational complexity of elitist population-based evolutionary algorithms.” 2012. Web. 19 Feb 2020.

Vancouver:

Ter-Sarkisov A. Computational complexity of elitist population-based evolutionary algorithms. [Internet] [Doctoral dissertation]. Massey University; 2012. [cited 2020 Feb 19]. Available from: http://hdl.handle.net/10179/4109.

Council of Science Editors:

Ter-Sarkisov A. Computational complexity of elitist population-based evolutionary algorithms. [Doctoral Dissertation]. Massey University; 2012. Available from: http://hdl.handle.net/10179/4109


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 February 19, 2020. http://hdl.handle.net/10289/9762.

MLA Handbook (7th Edition):

Liu, Liang. “Linear Genetic Programming with Experience .” 2015. Web. 19 Feb 2020.

Vancouver:

Liu L. Linear Genetic Programming with Experience . [Internet] [Masters thesis]. University of Waikato; 2015. [cited 2020 Feb 19]. 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


Victoria University of Wellington

28. 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 February 19, 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. 19 Feb 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 Feb 19]. 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


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 February 19, 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. 19 Feb 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 Feb 19]. 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


Hong Kong University of Science and Technology

30. 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 February 19, 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. 19 Feb 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 Feb 19]. 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

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