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
Future Internet is...

To succeed the Future Internet will need to address a number of cross-cutting challenges including:
- Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness
- Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection
- Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated
- Pervasive usability for users of mobile devices, different languages, cultures and physical abilities
- Mobility for users who expect a seamless experience across spaces, devices, and velocities
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