Tech Reports
Tech Report kmi-97-14 Abstract
Understanding Evolutionary Computing: A hands on approach
Techreport ID: kmi-97-14
Date: 1997
Author(s): Trevor Collins
Evolutionary computing is the study of robust search algorithms based on the principles of evolution. An Evolutionary Algorithm (EA) searches a problem space in order to find possible solutions to a given problem. This paper is intended to highlight the advantages of using software visualization techniques in evolutionary computing: Firstly it describes how a high-dimensional problem space can be represented in two (or more) dimensions, suitable for visualization; secondly it introduces how EA designers can use this visualization to explore their algorithm's search behavior in the problem space; and thirdly, it explores how this "hands on" approach can be extended to the evolutionary process, in order to improve an algorithm's performance.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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