Image segmentation is an important process and its results are used in many image processing ap-plications. Colour images can increase the qual-ity of segmentation, but increase the complexity of the problem. Genetic algorithms are well suited to optimising complex problems such as image seg-mentation. Various applications of genetic algo-rithms to the problem of image segmentation are explored. We discuss the feasibility of using ge-netic algorithms to segment general colour images and discuss the issues involved in designing such algorithms. 2

The purpose of this project is to explore the applications of Genetic Algorithms, an evo-lutionary computation search technique, to find approximate solutions to optimization problems. This project will focus on com-puting the minimum point on a three dimen-sional graph. The goal is to find the mini-mum point without testing every single point on the graph, a very computational intensive process.