Browsing M.Sc. Computer Science by Title
Now showing items 1-20 of 49
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Automatic evolution of conceptual building architectures
(2012-04-03)This thesis describes research in which genetic programming is used to automatically evolve shape grammars that construct three dimensional models of possible external building architectures. A completely automated ... -
Automatic Inference of Graph Models for Complex Networks with Genetic Programming
(Brock University, 2013-07-26)Complex networks can arise naturally and spontaneously from all things that act as a part of a larger system. From the patterns of socialization between people to the way biological systems organize themselves, complex ... -
Automatic Structure Generation using Genetic Programming and Fractal Geometry
(Brock University, 2012-02-09)Three dimensional model design is a well-known and studied field, with numerous real-world applications. However, the manual construction of these models can often be time-consuming to the average user, despite the ... -
Bio-inspired optimization & sampling technique for side-chain packing in MCCE
(Brock University, 2010-10-26)The prediction of proteins' conformation helps to understand their exhibited functions, allows for modeling and allows for the possible synthesis of the studied protein. Our research is focused on ... -
Bounds on edit metric codes with combinatorial DNA constraints
(Brock University, 2010-03-09)The design of a large and reliable DNA codeword library is a key problem in DNA based computing. DNA codes, namely sets of fixed length edit metric codewords over the alphabet {A, C, G, T}, satisfy certain combinatorial ... -
Comparison of classification ability of hyperball algorithms to neural network and k-nearest neighbour algorithms
(2012-04-03)The main focus of this thesis is to evaluate and compare Hyperbalilearning algorithm (HBL) to other learning algorithms. In this work HBL is compared to feed forward artificial neural networks using back propagation learning, ... -
Construction of I-Deletion-Correcting Ternary Codes
(2013-04-08)Finding large deletion correcting codes is an important issue in coding theory. Many researchers have studied this topic over the years. Varshamov and Tenegolts constructed the Varshamov-Tenengolts codes (VT codes) and ... -
Decoding algorithms using side-effect machines
(Brock University, 2010-03-09)Bioinformatics applies computers to problems in molecular biology. Previous research has not addressed edit metric decoders. Decoders for quaternary edit metric codes are finding use in bioinformatics problems ... -
Disease-Gene Association Using a Genetic Algorithm
(Brock University, 2014-10-09)Understanding the relationship between genetic diseases and the genes associated with them is an important problem regarding human health. The vast amount of data created from a large number of high-throughput experiments ... -
Enabling and Measuring Complexity in Evolving Designs using Generative Representations for Artificial Architecture
(Brock University, 2012-11-07)As the complexity of evolutionary design problems grow, so too must the quality of solutions scale to that complexity. In this research, we develop a genetic programming system with individuals encoded as tree-based ... -
Equational Reasoning about Object-Oriented Programs
(2013-04-08)Formal verification of software can be an enormous task. This fact brought some software engineers to claim that formal verification is not feasible in practice. One possible method of supporting the verification process ... -
Evolution of architectural floor plans
(Brock University, 2011-10-13)Layout planning is a process of sizing and placing rooms (e.g. in a house) while a t t empt ing to optimize various criteria. Often the r e are conflicting c r i t e r i a such as construction ... -
Evolutionary synthesis of stochastic gene network models using feature-based search spaces
(Brock University, 2009-01-28)A feature-based fitness function is applied in a genetic programming system to synthesize stochastic gene regulatory network models whose behaviour is defined by a time course of protein expression levels. Typically, ... -
Extending relAPS to first order logic
(Brock University, 2011-03-08)RelAPS is an interactive system assisting in proving relation-algebraic theorems. The aim of the system is to provide an environment where a user can perform a relation-algebraic proof similar to doing it using pencil ... -
Formalizing affordances in situation
(2012-04-03)The representation of a perceptual scene by a computer is usually limited to numbers representing dimensions and colours. The theory of affordances attempted to provide a new way of representing an environment, with ... -
Generating Aesthetically Pleasing Images in a Virtual Environment using Particle Swarm Optimization
(Brock University, 2012-11-07)This research focuses on generating aesthetically pleasing images in virtual environments using the particle swarm optimization (PSO) algorithm. The PSO is a stochastic population based search algorithm that is inspired ... -
Generating finite integral relation algebras
(Brock University, 2011-03-08)Relation algebras and categories of relations in particular have proven to be extremely useful as a fundamental tool in mathematics and computer science. Since relation algebras are Boolean algebras with some well-behaved ... -
Generating Relation Algebras for Qualitative Spatial Reasoning
(2013-04-15)Basic relationships between certain regions of space are formulated in natural language in everyday situations. For example, a customer specifies the outline of his future home to the architect by indicating which rooms ... -
Generator Matrix Based Search for Extremal Self-Dual Binary Error-Correcting Codes
(Brock University, 2012-09-18)Self-dual doubly even linear binary error-correcting codes, often referred to as Type II codes, are codes closely related to many combinatorial structures such as 5-designs. Extremal codes are codes that have the largest ... -
Genetic Programming for Non-Photorealistic Rendering
(Brock University, 2013-04-18)This thesis focuses on developing an evolutionary art system using genetic programming. The main goal is to produce new forms of evolutionary art that filter existing images into new non-photorealistic (NPR) styles, by ...