Automatic Structure Generation using Genetic Programming and Fractal Geometry

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 advantages o ffered through computational advances. This thesis presents an approach to the design of 3D structures using evolutionary computation and L-systems, which involves the automated production of such designs using a strict set of fitness functions. These functions focus on the geometric properties of the models produced, as well as their quantifiable aesthetic value - a topic which has not been widely investigated with respect to 3D models. New extensions to existing aesthetic measures are discussed and implemented in the presented system in order to produce designs which are visually pleasing. The system itself facilitates the construction of models requiring minimal user initialization and no user-based feedback throughout the evolutionary cycle. The genetic programming evolved models are shown to satisfy multiple criteria, conveying a relationship between their assigned aesthetic value and their perceived aesthetic value. Exploration into the applicability and e ffectiveness of a multi-objective approach to the problem is also presented, with a focus on both performance and visual results. Although subjective, these results o er insight into future applications and study in the fi eld of computational aesthetics and automated structure design.

HIDING IN PLAIN SIGHT- Sustainable Physical Activity Program Development and Evaluation for Youth with Special Needs: An Evaluative Case Study

The purpose of my research was to contribute to the improvement and sustainability of the Special Needs Activity Program, and develop program implementation strategies that had practical outcomes. I conducted an evaluative case study of S.N.A.P in order to determine what a quality adapted physical activity (APA) program is, why S.N.A.P is considered a quality APA program, and what institutional policies and practices exist to support it. Data was collected via interviews, questionnaires, and observations. Data analysis involved inductive and deductive methods, and a SWOTAR evaluation. Results indicate that quality APA programs include: ‘people’, ‘environment’, and ‘expectations’; there are benefits of experiential learning; activity stations that promote creativity are valuable; several stakeholders do not know the details about S.N.A.P but recognize its value; the institution values what S.N.A.P provides, yet, there is nothing being done to sustain it. Future research should investigate the feasibility of implementing S.N.A.P in various contexts.

Enabling and Measuring Complexity in Evolving Designs using Generative Representations for Artificial Architecture

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 generative representations to address scalability. This system is capable of multi-objective evaluation using a ranked sum scoring strategy. We examine Hornby's features and measures of modularity, reuse and hierarchy in evolutionary design problems. Experiments are carried out, using the system to generate three-dimensional forms, and analyses of feature characteristics such as modularity, reuse and hierarchy were performed. This work expands on that of Hornby's, by examining a new and more difficult problem domain. The results from these experiments show that individuals encoded with those three features performed best overall. It is also seen, that the measures of complexity conform to the results of Hornby. Moving forward with only this best performing encoding, the system was applied to the generation of three-dimensional external building architecture. One objective considered was passive solar performance, in which the system was challenged with generating forms that optimize exposure to the Sun. The results from these and other experiments satisfied the requirements. The system was shown to scale well to the architectural problems studied.

Becoming Peer Health Leaders: A Mixed-Methods Evaluation of a Youth Leadership Camp Preparing Peer Leaders for Participation in a Health Promotion Initiative.

Youth are critical partners in health promotion, but the process of training young people to become meaningfully involved is challenging. This mixed-methods evaluation considered the impact of a leadership camp in preparing 42 grade seven students to become peer health leaders in a ‘heart health’ initiative. The experiences of participants and their sense of agency were explored. Data were collected from pre and post camp surveys, focus groups, student journals and researcher observations. Findings indicate that relationships with peers and adults were key to agency development, and participants appeared to broaden their perspectives on the meanings of ‘health’ and ‘leadership.’ Significant changes on two sub-scales of the Harter Perceived Competence Scale for Children were also found. Suggestions for practice and further research are provided.