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Tech Report kmi-95-12 Abstract


The Visualization of Genetic Algorithms - Related Work
Techreport ID: kmi-95-12
Date: 1995
Author(s): Trevor Collins
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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.
 
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Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.