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You searched for +publisher:"Victoria University of Wellington" +contributor:("Zhang, Mengjie"). Showing records 1 – 29 of 29 total matches.

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Victoria University of Wellington

1. 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 June 18, 2019. 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. 18 Jun 2019.

Vancouver:

Kinzett AD. Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2019 Jun 18]. 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


Victoria University of Wellington

2. Al-Sahaf, Harith. Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances.

Degree: 2017, Victoria University of Wellington

 Image classification is a core task in many applications of computer vision, including object detection and recognition. It aims at analysing the visual content and… (more)

Subjects/Keywords: Classification; Descriptors; Genetic Programming

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APA (6th Edition):

Al-Sahaf, H. (2017). Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6177

Chicago Manual of Style (16th Edition):

Al-Sahaf, Harith. “Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances.” 2017. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/6177.

MLA Handbook (7th Edition):

Al-Sahaf, Harith. “Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances.” 2017. Web. 18 Jun 2019.

Vancouver:

Al-Sahaf H. Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2017. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/6177.

Council of Science Editors:

Al-Sahaf H. Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances. [Doctoral Dissertation]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6177


Victoria University of Wellington

3. 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 June 18, 2019. http://hdl.handle.net/10063/2312.

MLA Handbook (7th Edition):

Downey, Carlton. “Explorations in Parallel Linear Genetic Programming.” 2011. Web. 18 Jun 2019.

Vancouver:

Downey C. Explorations in Parallel Linear Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2019 Jun 18]. 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


Victoria University of Wellington

4. Yu, Yang. Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution.

Degree: 2015, Victoria University of Wellington

 Web service composition has become a promising technique to build powerful enterprise applications by making use of distributed services with different functions. In the age… (more)

Subjects/Keywords: QoS; Quality of Service; Data-intensive; Service composition and execution

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APA (6th Edition):

Yu, Y. (2015). Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4985

Chicago Manual of Style (16th Edition):

Yu, Yang. “Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution.” 2015. Masters Thesis, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/4985.

MLA Handbook (7th Edition):

Yu, Yang. “Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution.” 2015. Web. 18 Jun 2019.

Vancouver:

Yu Y. Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution. [Internet] [Masters thesis]. Victoria University of Wellington; 2015. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/4985.

Council of Science Editors:

Yu Y. Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution. [Masters Thesis]. Victoria University of Wellington; 2015. Available from: http://hdl.handle.net/10063/4985


Victoria University of Wellington

5. Hindmarsh, Samuel. Investigating the effects of corpus and configuration on assistive input methods.

Degree: 2014, Victoria University of Wellington

 Assistive technologies aim to provide assistance to those who are unable to perform various tasks in their day-to-day lives without tremendous difficulty. This includes —… (more)

Subjects/Keywords: Assistive input methods; Assistive technologies; HCI

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APA (6th Edition):

Hindmarsh, S. (2014). Investigating the effects of corpus and configuration on assistive input methods. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3660

Chicago Manual of Style (16th Edition):

Hindmarsh, Samuel. “Investigating the effects of corpus and configuration on assistive input methods.” 2014. Masters Thesis, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/3660.

MLA Handbook (7th Edition):

Hindmarsh, Samuel. “Investigating the effects of corpus and configuration on assistive input methods.” 2014. Web. 18 Jun 2019.

Vancouver:

Hindmarsh S. Investigating the effects of corpus and configuration on assistive input methods. [Internet] [Masters thesis]. Victoria University of Wellington; 2014. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/3660.

Council of Science Editors:

Hindmarsh S. Investigating the effects of corpus and configuration on assistive input methods. [Masters Thesis]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3660


Victoria University of Wellington

6. Xie, Huayang. An Analysis of Selection in Genetic Programming.

Degree: 2009, Victoria University of Wellington

 This thesis presents an analysis of the selection process in tree-based Genetic Programming (GP), covering the optimisation of both parent and offspring selection, and provides… (more)

Subjects/Keywords: Offspring selection; Parent selection; Genetic programmimg

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APA (6th Edition):

Xie, H. (2009). An Analysis of Selection in Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/837

Chicago Manual of Style (16th Edition):

Xie, Huayang. “An Analysis of Selection in Genetic Programming.” 2009. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/837.

MLA Handbook (7th Edition):

Xie, Huayang. “An Analysis of Selection in Genetic Programming.” 2009. Web. 18 Jun 2019.

Vancouver:

Xie H. An Analysis of Selection in Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2009. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/837.

Council of Science Editors:

Xie H. An Analysis of Selection in Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2009. Available from: http://hdl.handle.net/10063/837


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 June 18, 2019. http://hdl.handle.net/10063/1826.

MLA Handbook (7th Edition):

Smart, Will. “Empirical Analysis of Schemata in Genetic Programming.” 2011. Web. 18 Jun 2019.

Vancouver:

Smart W. Empirical Analysis of Schemata in Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2011. [cited 2019 Jun 18]. 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. Chandra, Rohitash. Problem Decomposition and Adaptation in Cooperative Neuro-Evolution.

Degree: 2012, Victoria University of Wellington

 One way to train neural networks is to use evolutionary algorithms such as cooperative coevolution - a method that decomposes the network's learnable parameters into… (more)

Subjects/Keywords: Neural networks; Cooperative coevolution; Recurrent network; Co-operative co-evolution

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APA (6th Edition):

Chandra, R. (2012). Problem Decomposition and Adaptation in Cooperative Neuro-Evolution. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2110

Chicago Manual of Style (16th Edition):

Chandra, Rohitash. “Problem Decomposition and Adaptation in Cooperative Neuro-Evolution.” 2012. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/2110.

MLA Handbook (7th Edition):

Chandra, Rohitash. “Problem Decomposition and Adaptation in Cooperative Neuro-Evolution.” 2012. Web. 18 Jun 2019.

Vancouver:

Chandra R. Problem Decomposition and Adaptation in Cooperative Neuro-Evolution. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2012. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/2110.

Council of Science Editors:

Chandra R. Problem Decomposition and Adaptation in Cooperative Neuro-Evolution. [Doctoral Dissertation]. Victoria University of Wellington; 2012. Available from: http://hdl.handle.net/10063/2110


Victoria University of Wellington

9. Setayesh, Mahdi. Particle Swarm Optimisation for Edge Detection in Noisy Images.

Degree: 2013, Victoria University of Wellington

 Detection of continuous and connected edges is very important in many applications, such as detecting oil slicks in remote sensing and detecting cancers in medical… (more)

Subjects/Keywords: Edge detection; PSO; Noise

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APA (6th Edition):

Setayesh, M. (2013). Particle Swarm Optimisation for Edge Detection in Noisy Images. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2698

Chicago Manual of Style (16th Edition):

Setayesh, Mahdi. “Particle Swarm Optimisation for Edge Detection in Noisy Images.” 2013. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/2698.

MLA Handbook (7th Edition):

Setayesh, Mahdi. “Particle Swarm Optimisation for Edge Detection in Noisy Images.” 2013. Web. 18 Jun 2019.

Vancouver:

Setayesh M. Particle Swarm Optimisation for Edge Detection in Noisy Images. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2013. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/2698.

Council of Science Editors:

Setayesh M. Particle Swarm Optimisation for Edge Detection in Noisy Images. [Doctoral Dissertation]. Victoria University of Wellington; 2013. Available from: http://hdl.handle.net/10063/2698


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 June 18, 2019. 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. 18 Jun 2019.

Vancouver:

Nguyen S. Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2013. [cited 2019 Jun 18]. 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. 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 June 18, 2019. http://hdl.handle.net/10063/7029.

MLA Handbook (7th Edition):

Chen, Qi. “Improving the Generalisation of Genetic Programming for Symbolic Regression.” 2018. Web. 18 Jun 2019.

Vancouver:

Chen Q. Improving the Generalisation of Genetic Programming for Symbolic Regression. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2019 Jun 18]. 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

12. Tran, Binh Ngan. Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data.

Degree: 2018, Victoria University of Wellington

 More and more high-dimensional data appears in machine learning, especially in classification tasks. With thousands of features, these datasets bring challenges to learning algorithms not… (more)

Subjects/Keywords: Evolutionary Computation; Feature selection; Feature construction; Classification; High-dimensional data

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APA (6th Edition):

Tran, B. N. (2018). Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/7078

Chicago Manual of Style (16th Edition):

Tran, Binh Ngan. “Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/7078.

MLA Handbook (7th Edition):

Tran, Binh Ngan. “Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data.” 2018. Web. 18 Jun 2019.

Vancouver:

Tran BN. Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/7078.

Council of Science Editors:

Tran BN. Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/7078


Victoria University of Wellington

13. Marzukhi, Syahaneim. Three-cornered coevolution learning classifier systems for classification.

Degree: 2014, Victoria University of Wellington

 This thesis introduces a Three-Cornered Coevolution System that is capable of addressing classification tasks through coevolution (coadaptive evolution) where three different agents (i.e. a generation… (more)

Subjects/Keywords: LCS; Learning Classifier System; Classification

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APA (6th Edition):

Marzukhi, S. (2014). Three-cornered coevolution learning classifier systems for classification. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3519

Chicago Manual of Style (16th Edition):

Marzukhi, Syahaneim. “Three-cornered coevolution learning classifier systems for classification.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/3519.

MLA Handbook (7th Edition):

Marzukhi, Syahaneim. “Three-cornered coevolution learning classifier systems for classification.” 2014. Web. 18 Jun 2019.

Vancouver:

Marzukhi S. Three-cornered coevolution learning classifier systems for classification. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/3519.

Council of Science Editors:

Marzukhi S. Three-cornered coevolution learning classifier systems for classification. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3519


Victoria University of Wellington

14. Neshatian, Kourosh. Feature Manipulation with Genetic Programming.

Degree: 2010, Victoria University of Wellington

 Feature manipulation refers to the process by which the input space of a machine learning task is altered in order to improve the learning quality… (more)

Subjects/Keywords: Machine learning; Evolutionary algorithms; Feature selection; Feature construction

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APA (6th Edition):

Neshatian, K. (2010). Feature Manipulation with Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4425

Chicago Manual of Style (16th Edition):

Neshatian, Kourosh. “Feature Manipulation with Genetic Programming.” 2010. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/4425.

MLA Handbook (7th Edition):

Neshatian, Kourosh. “Feature Manipulation with Genetic Programming.” 2010. Web. 18 Jun 2019.

Vancouver:

Neshatian K. Feature Manipulation with Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2010. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/4425.

Council of Science Editors:

Neshatian K. Feature Manipulation with Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2010. Available from: http://hdl.handle.net/10063/4425


Victoria University of Wellington

15. 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 June 18, 2019. 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. 18 Jun 2019.

Vancouver:

Ahmed S. Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2015. [cited 2019 Jun 18]. 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


Victoria University of Wellington

16. 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 June 18, 2019. http://hdl.handle.net/10063/5219.

MLA Handbook (7th Edition):

Hunt, Rachel. “Genetic Programming Hyper-heuristics for Job Shop Scheduling.” 2016. Web. 18 Jun 2019.

Vancouver:

Hunt R. Genetic Programming Hyper-heuristics for Job Shop Scheduling. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2019 Jun 18]. 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

17. Lewis, John. Learning from the Artist: Theory and Practice of Example-Based Character Deformation.

Degree: 2016, Victoria University of Wellington

 Movie and game production is very laborious, frequently involving hundreds of person-years for a single project. At present this work is difficult to fully automate,… (more)

Subjects/Keywords: Character animation; Computer graphics; Regression

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APA (6th Edition):

Lewis, J. (2016). Learning from the Artist: Theory and Practice of Example-Based Character Deformation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5255

Chicago Manual of Style (16th Edition):

Lewis, John. “Learning from the Artist: Theory and Practice of Example-Based Character Deformation.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/5255.

MLA Handbook (7th Edition):

Lewis, John. “Learning from the Artist: Theory and Practice of Example-Based Character Deformation.” 2016. Web. 18 Jun 2019.

Vancouver:

Lewis J. Learning from the Artist: Theory and Practice of Example-Based Character Deformation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/5255.

Council of Science Editors:

Lewis J. Learning from the Artist: Theory and Practice of Example-Based Character Deformation. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5255


Victoria University of Wellington

18. Tran, Cao Truong. Evolutionary Machine Learning for Classification with Incomplete Data.

Degree: 2018, Victoria University of Wellington

 Classification is a major task in machine learning and data mining. Many real-world datasets suffer from the unavoidable issue of missing values. Classification with incomplete… (more)

Subjects/Keywords: Incomplete data; Missing data; Classification; Machine learning; Evolutionary computation; Genetic programming; Ensemble learning; Feature selection; Feature construction

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APA (6th Edition):

Tran, C. T. (2018). Evolutionary Machine Learning for Classification with Incomplete Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/7639

Chicago Manual of Style (16th Edition):

Tran, Cao Truong. “Evolutionary Machine Learning for Classification with Incomplete Data.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/7639.

MLA Handbook (7th Edition):

Tran, Cao Truong. “Evolutionary Machine Learning for Classification with Incomplete Data.” 2018. Web. 18 Jun 2019.

Vancouver:

Tran CT. Evolutionary Machine Learning for Classification with Incomplete Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/7639.

Council of Science Editors:

Tran CT. Evolutionary Machine Learning for Classification with Incomplete Data. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/7639


Victoria University of Wellington

19. Alvarez, Isidro M. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.

Degree: 2017, Victoria University of Wellington

 Learning is an important activity through which humanity has incrementally improved accomplishing tasks by adapting knowledge and methods based on the related feedback. Although learning… (more)

Subjects/Keywords: LCS; XCS; Scalability; Code fragments; Learning; Learning Classifier Systems; eXtended Classifier System

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APA (6th Edition):

Alvarez, I. M. (2017). Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6785

Chicago Manual of Style (16th Edition):

Alvarez, Isidro M. “Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.” 2017. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/6785.

MLA Handbook (7th Edition):

Alvarez, Isidro M. “Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.” 2017. Web. 18 Jun 2019.

Vancouver:

Alvarez IM. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2017. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/6785.

Council of Science Editors:

Alvarez IM. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. [Doctoral Dissertation]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6785


Victoria University of Wellington

20. 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 June 18, 2019. http://hdl.handle.net/10063/6923.

MLA Handbook (7th Edition):

Liang, Yuyu. “Genetic Programming for Supervised Figure-ground Image Segmentation.” 2018. Web. 18 Jun 2019.

Vancouver:

Liang Y. Genetic Programming for Supervised Figure-ground Image Segmentation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2019 Jun 18]. 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

21. Nguyen, Bach Hoai. Evolutionary Computation for Feature Selection in Classification.

Degree: 2018, Victoria University of Wellington

 Classification aims to identify a class label of an instance according to the information from its characteristics or features. Unfortunately, many classification problems have a… (more)

Subjects/Keywords: Feature Selection; Evolutionary Computation; Classification

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APA (6th Edition):

Nguyen, B. H. (2018). Evolutionary Computation for Feature Selection in Classification. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/7821

Chicago Manual of Style (16th Edition):

Nguyen, Bach Hoai. “Evolutionary Computation for Feature Selection in Classification.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/7821.

MLA Handbook (7th Edition):

Nguyen, Bach Hoai. “Evolutionary Computation for Feature Selection in Classification.” 2018. Web. 18 Jun 2019.

Vancouver:

Nguyen BH. Evolutionary Computation for Feature Selection in Classification. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/7821.

Council of Science Editors:

Nguyen BH. Evolutionary Computation for Feature Selection in Classification. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/7821


Victoria University of Wellington

22. Sawczuk da Silva, Alexandre. Evolutionary Computation for Multifaceted Web Service Composition.

Degree: 2019, Victoria University of Wellington

 Automated Web service composition is one of the holy grails of service-oriented computing, since it allows users to create an application simply by specifying the… (more)

Subjects/Keywords: Evolutionary computing; AI; Web service composition; Artificial intelligence

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APA (6th Edition):

Sawczuk da Silva, A. (2019). Evolutionary Computation for Multifaceted Web Service Composition. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8014

Chicago Manual of Style (16th Edition):

Sawczuk da Silva, Alexandre. “Evolutionary Computation for Multifaceted Web Service Composition.” 2019. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/8014.

MLA Handbook (7th Edition):

Sawczuk da Silva, Alexandre. “Evolutionary Computation for Multifaceted Web Service Composition.” 2019. Web. 18 Jun 2019.

Vancouver:

Sawczuk da Silva A. Evolutionary Computation for Multifaceted Web Service Composition. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2019. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/8014.

Council of Science Editors:

Sawczuk da Silva A. Evolutionary Computation for Multifaceted Web Service Composition. [Doctoral Dissertation]. Victoria University of Wellington; 2019. Available from: http://hdl.handle.net/10063/8014

23. Marshall, Richard J. Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation.

Degree: 2015, Victoria University of Wellington

 The development of a heuristic to solve an optimisation problem in a new domain, or a specific variation of an existing problem domain, is often… (more)

Subjects/Keywords: Hyper-heuristic; Scalability; Combinatorial optimisation

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APA (6th Edition):

Marshall, R. J. (2015). Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4242

Chicago Manual of Style (16th Edition):

Marshall, Richard J. “Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation.” 2015. Masters Thesis, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/4242.

MLA Handbook (7th Edition):

Marshall, Richard J. “Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation.” 2015. Web. 18 Jun 2019.

Vancouver:

Marshall RJ. Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation. [Internet] [Masters thesis]. Victoria University of Wellington; 2015. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/4242.

Council of Science Editors:

Marshall RJ. Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation. [Masters Thesis]. Victoria University of Wellington; 2015. Available from: http://hdl.handle.net/10063/4242

24. Mirghasemi, Saeed. Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation.

Degree: 2017, Victoria University of Wellington

 Image segmentation is considered to be one of the foremost image analysis techniques for high-level real-world applications in computer vision. Its task is to change… (more)

Subjects/Keywords: Noisy image segmentation; Particle Swarm Optimization; Fuzzy C-Means

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APA (6th Edition):

Mirghasemi, S. (2017). Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6617

Chicago Manual of Style (16th Edition):

Mirghasemi, Saeed. “Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation.” 2017. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/6617.

MLA Handbook (7th Edition):

Mirghasemi, Saeed. “Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation.” 2017. Web. 18 Jun 2019.

Vancouver:

Mirghasemi S. Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2017. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/6617.

Council of Science Editors:

Mirghasemi S. Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation. [Doctoral Dissertation]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6617

25. Xue, Bing. Particle Swarm Optimisation for Feature Selection in Classification.

Degree: 2014, Victoria University of Wellington

 Classification problems often have a large number of features, but not all of them are useful for classification. Irrelevant and redundant features may even reduce… (more)

Subjects/Keywords: Feature selection; Particle swarm optimisation; Classification

…Computer Science and Faculty of Engineering at Victoria University of Wellington for their… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Xue, B. (2014). Particle Swarm Optimisation for Feature Selection in Classification. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3198

Chicago Manual of Style (16th Edition):

Xue, Bing. “Particle Swarm Optimisation for Feature Selection in Classification.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/3198.

MLA Handbook (7th Edition):

Xue, Bing. “Particle Swarm Optimisation for Feature Selection in Classification.” 2014. Web. 18 Jun 2019.

Vancouver:

Xue B. Particle Swarm Optimisation for Feature Selection in Classification. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/3198.

Council of Science Editors:

Xue B. Particle Swarm Optimisation for Feature Selection in Classification. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3198

26. Iqbal, Muhammad. Improving the Scalability of XCS-Based Learning Classifier Systems.

Degree: 2014, Victoria University of Wellington

 Using evolutionary intelligence and machine learning techniques, a broad range of intelligent machines have been designed to perform different tasks. An intelligent machine learns by… (more)

Subjects/Keywords: LCS; XCS; Scalability; Learning classifier systems; Evolutionary computation

…acknowledge the financial support from Student Academic Services at the Victoria University of… …and the cooperative behaviour of the group members. I am thankful to the Victoria University… …of Wellington for awarding me the Victoria PhD Scholarship and to Mengjie Zhang for… …Wellington, International Student Ministries of New Zealand, Federation of Islamic Associations of… 

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APA (6th Edition):

Iqbal, M. (2014). Improving the Scalability of XCS-Based Learning Classifier Systems. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3225

Chicago Manual of Style (16th Edition):

Iqbal, Muhammad. “Improving the Scalability of XCS-Based Learning Classifier Systems.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/3225.

MLA Handbook (7th Edition):

Iqbal, Muhammad. “Improving the Scalability of XCS-Based Learning Classifier Systems.” 2014. Web. 18 Jun 2019.

Vancouver:

Iqbal M. Improving the Scalability of XCS-Based Learning Classifier Systems. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/3225.

Council of Science Editors:

Iqbal M. Improving the Scalability of XCS-Based Learning Classifier Systems. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3225

27. Rada-Vilela, Juan. Population Statistics for Particle Swarm Optimization on Problems Subject to Noise.

Degree: 2014, Victoria University of Wellington

 Particle Swarm Optimization (PSO) is a metaheuristic where a swarm of particles explores the search space of an optimization problem to find good solutions. However,… (more)

Subjects/Keywords: Paticle Swarm Optimization; Population statistics; Noisy optimization

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APA (6th Edition):

Rada-Vilela, J. (2014). Population Statistics for Particle Swarm Optimization on Problems Subject to Noise. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3293

Chicago Manual of Style (16th Edition):

Rada-Vilela, Juan. “Population Statistics for Particle Swarm Optimization on Problems Subject to Noise.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/3293.

MLA Handbook (7th Edition):

Rada-Vilela, Juan. “Population Statistics for Particle Swarm Optimization on Problems Subject to Noise.” 2014. Web. 18 Jun 2019.

Vancouver:

Rada-Vilela J. Population Statistics for Particle Swarm Optimization on Problems Subject to Noise. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/3293.

Council of Science Editors:

Rada-Vilela J. Population Statistics for Particle Swarm Optimization on Problems Subject to Noise. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3293

28. Fu, Wenlong. Feature Extraction in Edge Detection using Genetic Programming.

Degree: 2014, Victoria University of Wellington

 Edge detection is important in image processing. Extracting edge features is the main and necessary process in edge detection. Since features in edge detection are… (more)

Subjects/Keywords: Feature extraction; Edge detection; Genetic programming

…New Zealand VUW0806) and Victoria University of Wellington (Vice Chancellor’s… 

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APA (6th Edition):

Fu, W. (2014). Feature Extraction in Edge Detection using Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3163

Chicago Manual of Style (16th Edition):

Fu, Wenlong. “Feature Extraction in Edge Detection using Genetic Programming.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/3163.

MLA Handbook (7th Edition):

Fu, Wenlong. “Feature Extraction in Edge Detection using Genetic Programming.” 2014. Web. 18 Jun 2019.

Vancouver:

Fu W. Feature Extraction in Edge Detection using Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/3163.

Council of Science Editors:

Fu W. Feature Extraction in Edge Detection using Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3163


Victoria University of Wellington

29. Wong, Phillip Lee-Ming. Removing Redundancy and Reducing Fitness Evaluation Costs in Genetic Programming.

Degree: 2008, Victoria University of Wellington

 One of the greater issues in Genetic Programming (GP) is the computational effort required to run the evolution and discover a good solution. Phenomena such… (more)

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

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APA (6th Edition):

Wong, P. L. (2008). Removing Redundancy and Reducing Fitness Evaluation Costs in Genetic Programming. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/541

Chicago Manual of Style (16th Edition):

Wong, Phillip Lee-Ming. “Removing Redundancy and Reducing Fitness Evaluation Costs in Genetic Programming.” 2008. Masters Thesis, Victoria University of Wellington. Accessed June 18, 2019. http://hdl.handle.net/10063/541.

MLA Handbook (7th Edition):

Wong, Phillip Lee-Ming. “Removing Redundancy and Reducing Fitness Evaluation Costs in Genetic Programming.” 2008. Web. 18 Jun 2019.

Vancouver:

Wong PL. Removing Redundancy and Reducing Fitness Evaluation Costs in Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2008. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10063/541.

Council of Science Editors:

Wong PL. Removing Redundancy and Reducing Fitness Evaluation Costs in Genetic Programming. [Masters Thesis]. Victoria University of Wellington; 2008. Available from: http://hdl.handle.net/10063/541

.