Learn More
Optimisation problems often comprise a large set of objectives, and visualising the set of solutions to a problem can help with understanding them, assisting a decision maker. If the set of objectives is larger than three, visualising solutions to the problem is a difficult task. Techniques for visualising high-dimensional data are often difficult to(More)
Multi-objective optimisation yields an estimated Pareto front of mutually non-dominating solutions, but with more than three objectives understanding the relationships between solutions is challenging. Natural solutions to use as <i>landmarks</i> are those lying near to the edges of the mutually non-dominating set. We propose four definitions of <i>edge(More)
Interpreting individuals described by a set of criteria can be a difficult task when the number of criteria is large. Such individuals can be ranked, for instance in terms of their average rank across criteria as well as by each distinct criterion. We therefore investigate criteria selection methods which aim to preserve the average rank of individuals but(More)
Executive summary. It's common to hear of the value of diversification during uncertain or volatile markets. Indeed, a broadly diversified, balanced portfolio is unlikely to perform as poorly as a portfolio focused entirely on stocks, if stocks enter a bear market or experience seemingly abnormal volatility. Perhaps this is a primary reason the market(More)
OVERVIEW Research has highlighted the increasingly prominent role of online assessment in higher education, particularly with regard to formative applications. The personal significance attributed to assessment events in what has been described as a test-oriented society, has profound implications for the way academics develop and present assessment tasks(More)