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You searched for +publisher:"University of Pretoria" +contributor:("Engelbrecht, Andries P."). Showing records 1 – 30 of 101 total matches.

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University of Pretoria

1. Poggiolini, Mario. The feature detection rule and its application within the negative selection algorithm.

Degree: Computer Science, 2009, University of Pretoria

 The negative selection algorithm developed by Forrest et al. was inspired by the manner in which T-cell lymphocytes mature within the thymus before being released… (more)

Subjects/Keywords: Negative selection algorithm; Artificial immune systems; Computational intelligence; UCTD

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APA (6th Edition):

Poggiolini, M. (2009). The feature detection rule and its application within the negative selection algorithm. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/25866

Chicago Manual of Style (16th Edition):

Poggiolini, Mario. “The feature detection rule and its application within the negative selection algorithm.” 2009. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/25866.

MLA Handbook (7th Edition):

Poggiolini, Mario. “The feature detection rule and its application within the negative selection algorithm.” 2009. Web. 05 Apr 2020.

Vancouver:

Poggiolini M. The feature detection rule and its application within the negative selection algorithm. [Internet] [Masters thesis]. University of Pretoria; 2009. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/25866.

Council of Science Editors:

Poggiolini M. The feature detection rule and its application within the negative selection algorithm. [Masters Thesis]. University of Pretoria; 2009. Available from: http://hdl.handle.net/2263/25866


University of Pretoria

2. Constantinou, Demetrakis. Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks.

Degree: Computer Science, 2011, University of Pretoria

 A mobile ad hoc network (MANET) is an infrastructure-less multi-hop network where each node communicates with other nodes directly or indirectly through intermediate nodes. Thus,… (more)

Subjects/Keywords: Multi-objective optimisation; Pareto front; Dynamic optimization; Power-aware routing; Ant colony optimisation; Mobile ad hoc networks; UCTD

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APA (6th Edition):

Constantinou, Demetrakis. (2011). Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/25981

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

Constantinou, Demetrakis. “Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks.” 2011. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/25981.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Constantinou, Demetrakis. “Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks.” 2011. Web. 05 Apr 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Constantinou, Demetrakis. Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks. [Internet] [Doctoral dissertation]. University of Pretoria; 2011. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/25981.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Constantinou, Demetrakis. Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks. [Doctoral Dissertation]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/25981

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Author name may be incomplete


University of Pretoria

3. Hauptfleisch, Andries Carl. Automatic road network extraction from high resolution satellite imagery using spectral classification methods.

Degree: Computer Science, 2010, University of Pretoria

 Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road… (more)

Subjects/Keywords: Spectral classification; Edge detection; Remote sensing analysis; Feature extraction; Segmentation; Automated road network extraction; UCTD

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APA (6th Edition):

Hauptfleisch, A. (2010). Automatic road network extraction from high resolution satellite imagery using spectral classification methods. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26866

Chicago Manual of Style (16th Edition):

Hauptfleisch, Andries. “Automatic road network extraction from high resolution satellite imagery using spectral classification methods.” 2010. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/26866.

MLA Handbook (7th Edition):

Hauptfleisch, Andries. “Automatic road network extraction from high resolution satellite imagery using spectral classification methods.” 2010. Web. 05 Apr 2020.

Vancouver:

Hauptfleisch A. Automatic road network extraction from high resolution satellite imagery using spectral classification methods. [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/26866.

Council of Science Editors:

Hauptfleisch A. Automatic road network extraction from high resolution satellite imagery using spectral classification methods. [Masters Thesis]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/26866


University of Pretoria

4. Louis, Anita Lily. Unsupervised discovery of relations for analysis of textual data in digital forensics.

Degree: Computer Science, 2010, University of Pretoria

 This dissertation addresses the problem of analysing digital data in digital forensics. It will be shown that text mining methods can be adapted and applied… (more)

Subjects/Keywords: Text analysis; Text mining; Information extraction; Relation discovery; Digital forensics; UCTD

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APA (6th Edition):

Louis, A. L. (2010). Unsupervised discovery of relations for analysis of textual data in digital forensics. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/27479

Chicago Manual of Style (16th Edition):

Louis, Anita Lily. “Unsupervised discovery of relations for analysis of textual data in digital forensics.” 2010. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/27479.

MLA Handbook (7th Edition):

Louis, Anita Lily. “Unsupervised discovery of relations for analysis of textual data in digital forensics.” 2010. Web. 05 Apr 2020.

Vancouver:

Louis AL. Unsupervised discovery of relations for analysis of textual data in digital forensics. [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/27479.

Council of Science Editors:

Louis AL. Unsupervised discovery of relations for analysis of textual data in digital forensics. [Masters Thesis]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/27479


University of Pretoria

5. Smit, Marius. Interactive narrative generation using computational verb theory.

Degree: Computer Science, 2010, University of Pretoria

 Interactive narrative extends traditional story-telling techniques by enabling previously passive observers to become active participants in the narrative events that unfold. A variety of approaches… (more)

Subjects/Keywords: Computational linguistics; Interactive narrative; Constraint satisfaction problems; Fuzzy constraint satisfaction problems; Computer graphics; Fuzzy sets; Computational verb theory; UCTD

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APA (6th Edition):

Smit, M. (2010). Interactive narrative generation using computational verb theory. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/27510

Chicago Manual of Style (16th Edition):

Smit, Marius. “Interactive narrative generation using computational verb theory.” 2010. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/27510.

MLA Handbook (7th Edition):

Smit, Marius. “Interactive narrative generation using computational verb theory.” 2010. Web. 05 Apr 2020.

Vancouver:

Smit M. Interactive narrative generation using computational verb theory. [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/27510.

Council of Science Editors:

Smit M. Interactive narrative generation using computational verb theory. [Masters Thesis]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/27510


University of Pretoria

6. Pampara, Gary. Angle modulated population based algorithms to solve binary problems.

Degree: Computer Science, 2012, University of Pretoria

 Recently, continuous-valued optimization problems have received a great amount of focus, resulting in optimization algorithms which are very efficient within the continuous-valued space. Many optimization… (more)

Subjects/Keywords: Angle modulation; Eolutionary programming; Genetic algorithm; Differential evolution; Particle swarm optimization (PSO); Atificial bee colony; Homomorphous mapping; Binary problem optimization; UCTD

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APA (6th Edition):

Pampara, G. (2012). Angle modulated population based algorithms to solve binary problems. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/22801

Chicago Manual of Style (16th Edition):

Pampara, Gary. “Angle modulated population based algorithms to solve binary problems.” 2012. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/22801.

MLA Handbook (7th Edition):

Pampara, Gary. “Angle modulated population based algorithms to solve binary problems.” 2012. Web. 05 Apr 2020.

Vancouver:

Pampara G. Angle modulated population based algorithms to solve binary problems. [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/22801.

Council of Science Editors:

Pampara G. Angle modulated population based algorithms to solve binary problems. [Masters Thesis]. University of Pretoria; 2012. Available from: http://hdl.handle.net/2263/22801


University of Pretoria

7. Anguelov, Bobby. Video game pathfinding and improvements to discrete search on grid-based maps.

Degree: Computer Science, 2012, University of Pretoria

 The most basic requirement for any computer controlled game agent in a video game is to be able to successfully navigate the game environment. Pathfinding… (more)

Subjects/Keywords: Navigation; Graph search; Hierarchical pathfinding; Games; A*; Hierarchical search algorithms; Pathfinding; Artificial intelligence; Video games; UCTD

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APA (6th Edition):

Anguelov, B. (2012). Video game pathfinding and improvements to discrete search on grid-based maps. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/22940

Chicago Manual of Style (16th Edition):

Anguelov, Bobby. “Video game pathfinding and improvements to discrete search on grid-based maps.” 2012. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/22940.

MLA Handbook (7th Edition):

Anguelov, Bobby. “Video game pathfinding and improvements to discrete search on grid-based maps.” 2012. Web. 05 Apr 2020.

Vancouver:

Anguelov B. Video game pathfinding and improvements to discrete search on grid-based maps. [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/22940.

Council of Science Editors:

Anguelov B. Video game pathfinding and improvements to discrete search on grid-based maps. [Masters Thesis]. University of Pretoria; 2012. Available from: http://hdl.handle.net/2263/22940


University of Pretoria

8. Papacostantis, Evangelos. Competitive co-evolution of trend reversal indicators using particle swarm optimisation.

Degree: Computer Science, 2010, University of Pretoria

 Computational Intelligence has found a challenging testbed for various paradigms in the financial sector. Extensive research has resulted in numerous financial applications using neural networks… (more)

Subjects/Keywords: Technical market indicators; Stock exchange trading; Evolutionary computation; Competitive co-evolution; Artificial neural networks; Particle swarm optimization (PSO); Technical analysis; Finance; UCTD

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APA (6th Edition):

Papacostantis, Evangelos. (2010). Competitive co-evolution of trend reversal indicators using particle swarm optimisation. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/23929

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Papacostantis, Evangelos. “Competitive co-evolution of trend reversal indicators using particle swarm optimisation.” 2010. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/23929.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Papacostantis, Evangelos. “Competitive co-evolution of trend reversal indicators using particle swarm optimisation.” 2010. Web. 05 Apr 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Papacostantis, Evangelos. Competitive co-evolution of trend reversal indicators using particle swarm optimisation. [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/23929.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Papacostantis, Evangelos. Competitive co-evolution of trend reversal indicators using particle swarm optimisation. [Masters Thesis]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/23929

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Pretoria

9. Helbig, Marde. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation.

Degree: Computer Science, 2012, University of Pretoria

 Most optimisation problems in everyday life are not static in nature, have multiple objectives and at least two of the objectives are in conflict with… (more)

Subjects/Keywords: Management of boundary constraint violations; Performance measures; Guide updates; Benchmark functions; Dynamic multi-objective optimisation; Particle swarm optimization (PSO); Vector evaluated particle swarm optimisation; UCTD

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APA (6th Edition):

Helbig, M. (2012). Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28161

Chicago Manual of Style (16th Edition):

Helbig, Marde. “Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation.” 2012. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/28161.

MLA Handbook (7th Edition):

Helbig, Marde. “Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation.” 2012. Web. 05 Apr 2020.

Vancouver:

Helbig M. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. [Internet] [Doctoral dissertation]. University of Pretoria; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/28161.

Council of Science Editors:

Helbig M. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. [Doctoral Dissertation]. University of Pretoria; 2012. Available from: http://hdl.handle.net/2263/28161


University of Pretoria

10. Barla-Szabo, Daniel. A study of gradient based particle swarm optimisers.

Degree: Computer Science, 2011, University of Pretoria

 Gradient-based optimisers are a natural way to solve optimisation problems, and have long been used for their efficacy in exploiting the search space. Particle swarm… (more)

Subjects/Keywords: Artificial intelligence; Gradient methods; Hybrid; Particle swarm optimization (PSO); UCTD

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APA (6th Edition):

Barla-Szabo, D. (2011). A study of gradient based particle swarm optimisers. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/29927

Chicago Manual of Style (16th Edition):

Barla-Szabo, Daniel. “A study of gradient based particle swarm optimisers.” 2011. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/29927.

MLA Handbook (7th Edition):

Barla-Szabo, Daniel. “A study of gradient based particle swarm optimisers.” 2011. Web. 05 Apr 2020.

Vancouver:

Barla-Szabo D. A study of gradient based particle swarm optimisers. [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/29927.

Council of Science Editors:

Barla-Szabo D. A study of gradient based particle swarm optimisers. [Masters Thesis]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/29927


University of Pretoria

11. Zablocki, Fabien Bernard Roman. Multiple sequence alignment using particle swarm optimization.

Degree: Computer Science, 2009, University of Pretoria

 The recent advent of bioinformatics has given rise to the central and recurrent problem of optimally aligning biological sequences. Many techniques have been proposed in… (more)

Subjects/Keywords: Computational intelligence; Particle swarm optimization (PSO); Bioinformatics; Artificial intelligence; Multi sequence alignment; Deoxyribonucleic acid (DNA); UCTD

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APA (6th Edition):

Zablocki, F. B. (2009). Multiple sequence alignment using particle swarm optimization. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/23406

Chicago Manual of Style (16th Edition):

Zablocki, Fabien Bernard. “Multiple sequence alignment using particle swarm optimization.” 2009. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/23406.

MLA Handbook (7th Edition):

Zablocki, Fabien Bernard. “Multiple sequence alignment using particle swarm optimization.” 2009. Web. 05 Apr 2020.

Vancouver:

Zablocki FB. Multiple sequence alignment using particle swarm optimization. [Internet] [Masters thesis]. University of Pretoria; 2009. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/23406.

Council of Science Editors:

Zablocki FB. Multiple sequence alignment using particle swarm optimization. [Masters Thesis]. University of Pretoria; 2009. Available from: http://hdl.handle.net/2263/23406


University of Pretoria

12. Rakitianskaia, A.S. (Anastassia Sergeevna). Using particle swarm optimisation to train feedforward neural networks in dynamic environments.

Degree: Computer Science, 2012, University of Pretoria

 The feedforward neural network (NN) is a mathematical model capable of representing any non-linear relationship between input and output data. It has been succesfully applied… (more)

Subjects/Keywords: Computational intelligence; Particle swarm optimization (PSO); Concept drift; Neural networks; UCTD

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APA (6th Edition):

Rakitianskaia, A. S. (. (2012). Using particle swarm optimisation to train feedforward neural networks in dynamic environments. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28618

Chicago Manual of Style (16th Edition):

Rakitianskaia, A S (Anastassia. “Using particle swarm optimisation to train feedforward neural networks in dynamic environments.” 2012. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/28618.

MLA Handbook (7th Edition):

Rakitianskaia, A S (Anastassia. “Using particle swarm optimisation to train feedforward neural networks in dynamic environments.” 2012. Web. 05 Apr 2020.

Vancouver:

Rakitianskaia AS(. Using particle swarm optimisation to train feedforward neural networks in dynamic environments. [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/28618.

Council of Science Editors:

Rakitianskaia AS(. Using particle swarm optimisation to train feedforward neural networks in dynamic environments. [Masters Thesis]. University of Pretoria; 2012. Available from: http://hdl.handle.net/2263/28618


University of Pretoria

13. Graaff, A.J. (Alexander Jakobus). A local network neighbourhood artificial immune system.

Degree: Computer Science, 2011, University of Pretoria

 As information is becoming more available online and will forevermore be part of any business, the true value of the large amounts of stored data… (more)

Subjects/Keywords: Klonale seleksie; Kunsmatige immuun netwerke; Immuun netwerk topologieë; Groepering van dinamiese data; Affiniteit volwassewording; Somatiese hiper mutasie; Kunsmatige limfosiete; Data groepering; Affinity maturation; Clonal selection; Artificial lymphocytes; Somatic hyper mutation; Groepering prestasie maatreëls; Data clustering; Dinamiese groepering; UCTD

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APA (6th Edition):

Graaff, A. J. (. (2011). A local network neighbourhood artificial immune system. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28799

Chicago Manual of Style (16th Edition):

Graaff, A J (Alexander. “A local network neighbourhood artificial immune system.” 2011. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/28799.

MLA Handbook (7th Edition):

Graaff, A J (Alexander. “A local network neighbourhood artificial immune system.” 2011. Web. 05 Apr 2020.

Vancouver:

Graaff AJ(. A local network neighbourhood artificial immune system. [Internet] [Doctoral dissertation]. University of Pretoria; 2011. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/28799.

Council of Science Editors:

Graaff AJ(. A local network neighbourhood artificial immune system. [Doctoral Dissertation]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/28799


University of Pretoria

14. Neethling, Charles Marais. Using SetPSO to determine RNA secondary structure.

Degree: Computer Science, 2009, University of Pretoria

 RNA secondary structure prediction is an important field in Bioinformatics. A number of different approaches have been developed to simplify the determination of RNA molecule… (more)

Subjects/Keywords: Rna; Secondary structure; Setpso; Combinatorial; Computational intelligence; Particle swarm optimiser; UCTD

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APA (6th Edition):

Neethling, C. (2009). Using SetPSO to determine RNA secondary structure. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/29202

Chicago Manual of Style (16th Edition):

Neethling, Charles. “Using SetPSO to determine RNA secondary structure.” 2009. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/29202.

MLA Handbook (7th Edition):

Neethling, Charles. “Using SetPSO to determine RNA secondary structure.” 2009. Web. 05 Apr 2020.

Vancouver:

Neethling C. Using SetPSO to determine RNA secondary structure. [Internet] [Masters thesis]. University of Pretoria; 2009. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/29202.

Council of Science Editors:

Neethling C. Using SetPSO to determine RNA secondary structure. [Masters Thesis]. University of Pretoria; 2009. Available from: http://hdl.handle.net/2263/29202


University of Pretoria

15. Lutu, P.E.N. (Patricia Elizabeth Nalwoga). Dataset selection for aggregate model implementation in predictive data mining.

Degree: Computer Science, 2010, University of Pretoria

 Data mining has become a commonly used method for the analysis of organisational data, for purposes of summarizing data in useful ways and identifying non-trivial… (more)

Subjects/Keywords: Dataset partitioning; Data mining; Bias reduction; Predictive modeling; Classification; Model aggregation; Ensemble classifiers; Ova classification; Pvn classification; Dataset selection; Featureselection; Variable selection; Large datasets; Variance reduction; Dataset sampling; UCTD

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APA (6th Edition):

Lutu, P. E. N. (. E. (2010). Dataset selection for aggregate model implementation in predictive data mining. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/29486

Chicago Manual of Style (16th Edition):

Lutu, P E N (Patricia Elizabeth. “Dataset selection for aggregate model implementation in predictive data mining.” 2010. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/29486.

MLA Handbook (7th Edition):

Lutu, P E N (Patricia Elizabeth. “Dataset selection for aggregate model implementation in predictive data mining.” 2010. Web. 05 Apr 2020.

Vancouver:

Lutu PEN(E. Dataset selection for aggregate model implementation in predictive data mining. [Internet] [Doctoral dissertation]. University of Pretoria; 2010. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/29486.

Council of Science Editors:

Lutu PEN(E. Dataset selection for aggregate model implementation in predictive data mining. [Doctoral Dissertation]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/29486


University of Pretoria

16. Morkel, Tayana. Image steganography applications for secure communication.

Degree: Computer Science, 2013, University of Pretoria

 To securely communicate information between parties or locations is not an easy task considering the possible attacks or unintentional changes that can occur during communication.… (more)

Subjects/Keywords: Image processing; Steganography; Information hiding; Computer security; Image authentication; Secure communication; UCTD

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APA (6th Edition):

Morkel, T. (2013). Image steganography applications for secure communication. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/29906

Chicago Manual of Style (16th Edition):

Morkel, Tayana. “Image steganography applications for secure communication.” 2013. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/29906.

MLA Handbook (7th Edition):

Morkel, Tayana. “Image steganography applications for secure communication.” 2013. Web. 05 Apr 2020.

Vancouver:

Morkel T. Image steganography applications for secure communication. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/29906.

Council of Science Editors:

Morkel T. Image steganography applications for secure communication. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/29906


University of Pretoria

17. Van der Stockt, Stefan Aloysius Gert. A generic neural network framework using design patterns.

Degree: Computer Science, 2008, University of Pretoria

 Designing object-oriented software is hard, and designing reusable object-oriented software is even harder. This task is even more daunting for a developer of computational intelligence… (more)

Subjects/Keywords: Computational intelligence; Software engineering; Design pattern; Incremental learning; Sensitivity analysis; Taxonomy; Saila algorithm; Neural network library; Cilib; Artificial neural network; Artificial intelligence; UCTD

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APA (6th Edition):

Van der Stockt, S. A. G. (2008). A generic neural network framework using design patterns. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/27614

Chicago Manual of Style (16th Edition):

Van der Stockt, Stefan Aloysius Gert. “A generic neural network framework using design patterns.” 2008. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/27614.

MLA Handbook (7th Edition):

Van der Stockt, Stefan Aloysius Gert. “A generic neural network framework using design patterns.” 2008. Web. 05 Apr 2020.

Vancouver:

Van der Stockt SAG. A generic neural network framework using design patterns. [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/27614.

Council of Science Editors:

Van der Stockt SAG. A generic neural network framework using design patterns. [Masters Thesis]. University of Pretoria; 2008. Available from: http://hdl.handle.net/2263/27614


University of Pretoria

18. Georgieva, Kristina Slavomirova. A Computational Intelligence Approach to Clustering of Temporal Data.

Degree: Computer Science, 2015, University of Pretoria

 Temporal data is common in real-world datasets. Analysis of such data, for example by means of clustering algorithms, can be difficult due to its dynamic… (more)

Subjects/Keywords: Computational Intelligence; Local network; Clustering; Temporal data; Particle swarm optimization (PSO); Differential evolution; UCTD

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APA (6th Edition):

Georgieva, K. S. (2015). A Computational Intelligence Approach to Clustering of Temporal Data. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/43778

Chicago Manual of Style (16th Edition):

Georgieva, Kristina Slavomirova. “A Computational Intelligence Approach to Clustering of Temporal Data.” 2015. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/43778.

MLA Handbook (7th Edition):

Georgieva, Kristina Slavomirova. “A Computational Intelligence Approach to Clustering of Temporal Data.” 2015. Web. 05 Apr 2020.

Vancouver:

Georgieva KS. A Computational Intelligence Approach to Clustering of Temporal Data. [Internet] [Masters thesis]. University of Pretoria; 2015. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/43778.

Council of Science Editors:

Georgieva KS. A Computational Intelligence Approach to Clustering of Temporal Data. [Masters Thesis]. University of Pretoria; 2015. Available from: http://hdl.handle.net/2263/43778


University of Pretoria

19. Stallmann, Christoph Frank. Digital Audio Restoration of Gramophone Records.

Degree: Computer Science, 2015, University of Pretoria

 Gramophones were the main audio recording medium for more than seven decades and regained widespread popularity over the past few years. Being an analogue storage… (more)

Subjects/Keywords: Computer Science; UCTD

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APA (6th Edition):

Stallmann, C. F. (2015). Digital Audio Restoration of Gramophone Records. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/45816

Chicago Manual of Style (16th Edition):

Stallmann, Christoph Frank. “Digital Audio Restoration of Gramophone Records.” 2015. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/45816.

MLA Handbook (7th Edition):

Stallmann, Christoph Frank. “Digital Audio Restoration of Gramophone Records.” 2015. Web. 05 Apr 2020.

Vancouver:

Stallmann CF. Digital Audio Restoration of Gramophone Records. [Internet] [Masters thesis]. University of Pretoria; 2015. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/45816.

Council of Science Editors:

Stallmann CF. Digital Audio Restoration of Gramophone Records. [Masters Thesis]. University of Pretoria; 2015. Available from: http://hdl.handle.net/2263/45816


University of Pretoria

20. Du Plessis, M.C. (Mathys Cornelius). Adaptive multi-population differential evolution for dynamic environments.

Degree: Computer Science, 2012, University of Pretoria

 Dynamic optimisation problems are problems where the search space does not remain constant over time. Evolutionary algorithms aimed at static optimisation problems often fail to… (more)

Subjects/Keywords: Moving peaks; Dynamic number of populations; Differential evolution; Self-adaptive control parameters; Competing populations; Dynamic environments; UCTD

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APA (6th Edition):

Du Plessis, M. C. (. (2012). Adaptive multi-population differential evolution for dynamic environments. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28211

Chicago Manual of Style (16th Edition):

Du Plessis, M C (Mathys. “Adaptive multi-population differential evolution for dynamic environments.” 2012. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/28211.

MLA Handbook (7th Edition):

Du Plessis, M C (Mathys. “Adaptive multi-population differential evolution for dynamic environments.” 2012. Web. 05 Apr 2020.

Vancouver:

Du Plessis MC(. Adaptive multi-population differential evolution for dynamic environments. [Internet] [Doctoral dissertation]. University of Pretoria; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/28211.

Council of Science Editors:

Du Plessis MC(. Adaptive multi-population differential evolution for dynamic environments. [Doctoral Dissertation]. University of Pretoria; 2012. Available from: http://hdl.handle.net/2263/28211


University of Pretoria

21. Khan, S.A. (Salman Ahmad). Design and analysis of evolutionary and swarm intelligence techniques for topology design of distributed local area networks.

Degree: Computer Science, 2009, University of Pretoria

 Topology design of distributed local area networks (DLANs) can be classified as an NP-hard problem. Intelligent algorithms, such as evolutionary and swarm intelligence techniques, are… (more)

Subjects/Keywords: Stochastic evolution; Swarm intelligence; Simulated evolution; Fuzzy logic; Unified and-or operator; Optimization; Local area networks; Simulated annealing; Ant colony optimization; Particle swarm optimizati; UCTD

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APA (6th Edition):

Khan, S. A. (. A. (2009). Design and analysis of evolutionary and swarm intelligence techniques for topology design of distributed local area networks. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28233

Chicago Manual of Style (16th Edition):

Khan, S A (Salman Ahmad). “Design and analysis of evolutionary and swarm intelligence techniques for topology design of distributed local area networks.” 2009. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/28233.

MLA Handbook (7th Edition):

Khan, S A (Salman Ahmad). “Design and analysis of evolutionary and swarm intelligence techniques for topology design of distributed local area networks.” 2009. Web. 05 Apr 2020.

Vancouver:

Khan SA(A. Design and analysis of evolutionary and swarm intelligence techniques for topology design of distributed local area networks. [Internet] [Doctoral dissertation]. University of Pretoria; 2009. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/28233.

Council of Science Editors:

Khan SA(A. Design and analysis of evolutionary and swarm intelligence techniques for topology design of distributed local area networks. [Doctoral Dissertation]. University of Pretoria; 2009. Available from: http://hdl.handle.net/2263/28233


University of Pretoria

22. Schoeman, Isabella Lodewina. Niching in particle swarm optimization.

Degree: Computer Science, 2010, University of Pretoria

 Optimization forms an intrinsic part of the design and implementation of modern systems, such as industrial systems, communication networks, and the configuration of electric or… (more)

Subjects/Keywords: Speciation; Particle swarm optimization (PSO); Niching; Dynamic; UCTD

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APA (6th Edition):

Schoeman, I. (2010). Niching in particle swarm optimization. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26548

Chicago Manual of Style (16th Edition):

Schoeman, Isabella. “Niching in particle swarm optimization.” 2010. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/26548.

MLA Handbook (7th Edition):

Schoeman, Isabella. “Niching in particle swarm optimization.” 2010. Web. 05 Apr 2020.

Vancouver:

Schoeman I. Niching in particle swarm optimization. [Internet] [Doctoral dissertation]. University of Pretoria; 2010. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/26548.

Council of Science Editors:

Schoeman I. Niching in particle swarm optimization. [Doctoral Dissertation]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/26548


University of Pretoria

23. Engelbrecht, Nico. Analysis of RED packet loss performance in a simulated IP WAN.

Degree: Electrical, Electronic and Computer Engineering, 2013, University of Pretoria

 The Internet supports a diverse number of applications, which have different requirements for a number of services. Next generation networks provide high speed connectivity between… (more)

Subjects/Keywords: Network simulation; Quality of service; Differentiated services; Network delay; Packet discarding; Packet loss; RED; UCTD

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APA (6th Edition):

Engelbrecht, N. (2013). Analysis of RED packet loss performance in a simulated IP WAN. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/31567

Chicago Manual of Style (16th Edition):

Engelbrecht, Nico. “Analysis of RED packet loss performance in a simulated IP WAN.” 2013. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/31567.

MLA Handbook (7th Edition):

Engelbrecht, Nico. “Analysis of RED packet loss performance in a simulated IP WAN.” 2013. Web. 05 Apr 2020.

Vancouver:

Engelbrecht N. Analysis of RED packet loss performance in a simulated IP WAN. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/31567.

Council of Science Editors:

Engelbrecht N. Analysis of RED packet loss performance in a simulated IP WAN. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/31567


University of Pretoria

24. Scheepers, Christiaan. Coevolution of Neuro-controllers to Train Multi-Agent Teams from Zero Knowledge.

Degree: Computer Science, 2013, University of Pretoria

 After the historic chess match between Deep Blue and Garry Kasparov, many researchers considered the game of chess solved and moved on to the more… (more)

Subjects/Keywords: Multi agent system; Cooperative coevolution; Simple soccer; Zero knowledge; Competitive coevolution; Neural networks; Charged particle swarm optimiser; UCTD

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APA (6th Edition):

Scheepers, Christiaan. (2013). Coevolution of Neuro-controllers to Train Multi-Agent Teams from Zero Knowledge. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/31625

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Scheepers, Christiaan. “Coevolution of Neuro-controllers to Train Multi-Agent Teams from Zero Knowledge.” 2013. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/31625.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Scheepers, Christiaan. “Coevolution of Neuro-controllers to Train Multi-Agent Teams from Zero Knowledge.” 2013. Web. 05 Apr 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Scheepers, Christiaan. Coevolution of Neuro-controllers to Train Multi-Agent Teams from Zero Knowledge. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/31625.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Scheepers, Christiaan. Coevolution of Neuro-controllers to Train Multi-Agent Teams from Zero Knowledge. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/31625

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Pretoria

25. Cleghorn, Christopher Wesley. A Generalized theoretical deterministic particle swarm model.

Degree: Computer Science, 2013, University of Pretoria

 Particle swarm optimization (PSO) is a well known population-based search algorithm, originally developed by Kennedy and Eberhart in 1995. The PSO has been utilized in… (more)

Subjects/Keywords: Particle swarm optimization (PSO); UCTD

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APA (6th Edition):

Cleghorn, C. W. (2013). A Generalized theoretical deterministic particle swarm model. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/33333

Chicago Manual of Style (16th Edition):

Cleghorn, Christopher Wesley. “A Generalized theoretical deterministic particle swarm model.” 2013. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://hdl.handle.net/2263/33333.

MLA Handbook (7th Edition):

Cleghorn, Christopher Wesley. “A Generalized theoretical deterministic particle swarm model.” 2013. Web. 05 Apr 2020.

Vancouver:

Cleghorn CW. A Generalized theoretical deterministic particle swarm model. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2263/33333.

Council of Science Editors:

Cleghorn CW. A Generalized theoretical deterministic particle swarm model. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/33333


University of Pretoria

26. [No author]. Niching in particle swarm optimization .

Degree: 2010, University of Pretoria

 Optimization forms an intrinsic part of the design and implementation of modern systems, such as industrial systems, communication networks, and the configuration of electric or… (more)

Subjects/Keywords: Speciation; Particle swarm optimization (PSO); Niching; Dynamic; UCTD

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

APA (6th Edition):

author], [. (2010). Niching in particle swarm optimization . (Doctoral Dissertation). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07222010-111453/

Chicago Manual of Style (16th Edition):

author], [No. “Niching in particle swarm optimization .” 2010. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://upetd.up.ac.za/thesis/available/etd-07222010-111453/.

MLA Handbook (7th Edition):

author], [No. “Niching in particle swarm optimization .” 2010. Web. 05 Apr 2020.

Vancouver:

author] [. Niching in particle swarm optimization . [Internet] [Doctoral dissertation]. University of Pretoria; 2010. [cited 2020 Apr 05]. Available from: http://upetd.up.ac.za/thesis/available/etd-07222010-111453/.

Council of Science Editors:

author] [. Niching in particle swarm optimization . [Doctoral Dissertation]. University of Pretoria; 2010. Available from: http://upetd.up.ac.za/thesis/available/etd-07222010-111453/


University of Pretoria

27. [No author]. Automatic road network extraction from high resolution satellite imagery using spectral classification methods .

Degree: 2010, University of Pretoria

 Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road… (more)

Subjects/Keywords: Spectral classification; Edge detection; Remote sensing analysis; Feature extraction; Segmentation; Automated road network extraction; UCTD

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

APA (6th Edition):

author], [. (2010). Automatic road network extraction from high resolution satellite imagery using spectral classification methods . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07302010-143434/

Chicago Manual of Style (16th Edition):

author], [No. “Automatic road network extraction from high resolution satellite imagery using spectral classification methods .” 2010. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://upetd.up.ac.za/thesis/available/etd-07302010-143434/.

MLA Handbook (7th Edition):

author], [No. “Automatic road network extraction from high resolution satellite imagery using spectral classification methods .” 2010. Web. 05 Apr 2020.

Vancouver:

author] [. Automatic road network extraction from high resolution satellite imagery using spectral classification methods . [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Apr 05]. Available from: http://upetd.up.ac.za/thesis/available/etd-07302010-143434/.

Council of Science Editors:

author] [. Automatic road network extraction from high resolution satellite imagery using spectral classification methods . [Masters Thesis]. University of Pretoria; 2010. Available from: http://upetd.up.ac.za/thesis/available/etd-07302010-143434/


University of Pretoria

28. [No author]. The feature detection rule and its application within the negative selection algorithm .

Degree: 2009, University of Pretoria

 The negative selection algorithm developed by Forrest et al. was inspired by the manner in which T-cell lymphocytes mature within the thymus before being released… (more)

Subjects/Keywords: Negative selection algorithm; Artificial immune systems; Computational intelligence; UCTD

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APA (6th Edition):

author], [. (2009). The feature detection rule and its application within the negative selection algorithm . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-06262009-112502/

Chicago Manual of Style (16th Edition):

author], [No. “The feature detection rule and its application within the negative selection algorithm .” 2009. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://upetd.up.ac.za/thesis/available/etd-06262009-112502/.

MLA Handbook (7th Edition):

author], [No. “The feature detection rule and its application within the negative selection algorithm .” 2009. Web. 05 Apr 2020.

Vancouver:

author] [. The feature detection rule and its application within the negative selection algorithm . [Internet] [Masters thesis]. University of Pretoria; 2009. [cited 2020 Apr 05]. Available from: http://upetd.up.ac.za/thesis/available/etd-06262009-112502/.

Council of Science Editors:

author] [. The feature detection rule and its application within the negative selection algorithm . [Masters Thesis]. University of Pretoria; 2009. Available from: http://upetd.up.ac.za/thesis/available/etd-06262009-112502/


University of Pretoria

29. [No author]. Particle swarm optimisation in dynamically changing environments - an empirical study .

Degree: 2012, University of Pretoria

 Real-world optimisation problems often are of a dynamic nature. Recently, much research has been done to apply particle swarm optimisation (PSO) to dynamic environments (DE).… (more)

Subjects/Keywords: Atomic pso; Charged pso; Self-adapting multi-swarm; Re-evaluating pso; Particle swarm optimisation (pso); Dynamically changing environment; Quantum swarm optimisation; Reinitialising pso; Computational intelligence; Multi-swarm; UCTD

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

APA (6th Edition):

author], [. (2012). Particle swarm optimisation in dynamically changing environments - an empirical study . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-06262012-124432/

Chicago Manual of Style (16th Edition):

author], [No. “Particle swarm optimisation in dynamically changing environments - an empirical study .” 2012. Masters Thesis, University of Pretoria. Accessed April 05, 2020. http://upetd.up.ac.za/thesis/available/etd-06262012-124432/.

MLA Handbook (7th Edition):

author], [No. “Particle swarm optimisation in dynamically changing environments - an empirical study .” 2012. Web. 05 Apr 2020.

Vancouver:

author] [. Particle swarm optimisation in dynamically changing environments - an empirical study . [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2020 Apr 05]. Available from: http://upetd.up.ac.za/thesis/available/etd-06262012-124432/.

Council of Science Editors:

author] [. Particle swarm optimisation in dynamically changing environments - an empirical study . [Masters Thesis]. University of Pretoria; 2012. Available from: http://upetd.up.ac.za/thesis/available/etd-06262012-124432/


University of Pretoria

30. [No author]. Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks .

Degree: 2011, University of Pretoria

 A mobile ad hoc network (MANET) is an infrastructure-less multi-hop network where each node communicates with other nodes directly or indirectly through intermediate nodes. Thus,… (more)

Subjects/Keywords: Multi-objective optimisation; Pareto front; Dynamic optimization; Power-aware routing; Ant colony optimisation; Mobile ad hoc networks; UCTD

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

APA (6th Edition):

author], [. (2011). Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks . (Doctoral Dissertation). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07012011-151336/

Chicago Manual of Style (16th Edition):

author], [No. “Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks .” 2011. Doctoral Dissertation, University of Pretoria. Accessed April 05, 2020. http://upetd.up.ac.za/thesis/available/etd-07012011-151336/.

MLA Handbook (7th Edition):

author], [No. “Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks .” 2011. Web. 05 Apr 2020.

Vancouver:

author] [. Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks . [Internet] [Doctoral dissertation]. University of Pretoria; 2011. [cited 2020 Apr 05]. Available from: http://upetd.up.ac.za/thesis/available/etd-07012011-151336/.

Council of Science Editors:

author] [. Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks . [Doctoral Dissertation]. University of Pretoria; 2011. Available from: http://upetd.up.ac.za/thesis/available/etd-07012011-151336/

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