All of My Blood is Red: Contemporary Metis Visual Culture and Identity

This thesis explores notions of contemporary Metis identity through the lens of visual culture, as articulated in the works of three visual artists of Metis ancestry. I discuss the complexities of being Metis with reference to specific art works by Christi Belcourt, David Garneau and Rosalie Favell. In addition to a visual culture analysis of these three Metis artists, I supplement my discussion of Metis identity with a selection of autoethnographic explorations of my identity as a Metis woman through out this thesis. The self-reflexive aspect of this work documents the ways in which my understanding of myself as a Metis woman have been deepened and reworked in the process of conducting this research, while also offering an expanded conception of contemporary Metis culture. I present this work as an important point of departure for giving a greater presence to contemporary Metis visual culture across Canada:

Generating Aesthetically Pleasing Images in a Virtual Environment using Particle Swarm Optimization

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 by the flocking behavior of birds. In this research, we implement swarms of cameras flying through a virtual world in search of an image that is aesthetically pleasing. Virtual world exploration using particle swarm optimization is considered to be a new research area and is of interest to both the scientific and artistic communities. Aesthetic rules such as rule of thirds, subject matter, colour similarity and horizon line are all analyzed together as a multi-objective problem to analyze and solve with rendered images. A new multi-objective PSO algorithm, the sum of ranks PSO, is introduced. It is empirically compared to other single-objective and multi-objective swarm algorithms. An advantage of the sum of ranks PSO is that it is useful for solving high-dimensional problems within the context of this research. Throughout many experiments, we show that our approach is capable of automatically producing images satisfying a variety of supplied aesthetic criteria.