Tech Reports
Tech Report kmi-95-12 Abstract
The Visualization of Genetic Algorithms - Related Work
Techreport ID: kmi-95-12
Date: 1995
Author(s): Trevor Collins
Genetic Algorithms are robust search algorithms capable of finding multiple solutions to complex problems. In order to ensure that the algorithm is working correctly, it is necessary to examine the steps involved in its execution and the results produced at each stage. It is proposed that Software Visualization may be one technique that could support this task. This review examines a number of Software Visualization systems, discusses the key features that may prove useful for visualizing Genetic Algorithms, and presents some screen representations that illustrate some possible design configurations.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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