KMi Publications

Tech Reports

Tech Report kmi-96-11 Abstract


Genotypic-Space Mapping: Population Visualization for Genetic Algorithms
Techreport ID: kmi-96-11
Date: 1996
Author(s): Trevor Collins
Download Postscript

This paper presents one proposed method for representing the population data of Genetic Algorithms (GAs). Typical population data from GAs are large high-dimensional sets of binary, decimal, real or string, state values. This makes their representation by two or three spatial dimensions somewhat difficult. Several attempts at population visualization have been made but have failed to efficiently solve this high dimensional to 2/3 dimensional space mapping problem. The use of the proposed "Genotypic-Space Mapping" method is put forward as a solution to this problem. It provides a unique linear mapping of a high-dimensional population string to a pair of x,y and/or z co- ordinates, thus enabling each population to be displayed as a scatter-plot in two or three dimensional space.
 
KMi Publications Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Future Internet is...


Future Internet
With over a billion users, today's Internet is arguably the most successful human artifact ever created. The Internet's physical infrastructure, software, and content now play an integral part of the lives of everyone on the planet, whether they interact with it directly or not. Now nearing its fifth decade, the Internet has shown remarkable resilience and flexibility in the face of ever increasing numbers of users, data volume, and changing usage patterns, but faces growing challenges in meetings the needs of our knowledge society. Globally, many major initiatives are underway to address the need for more scientific research, physical infrastructure investment, better education, and better utilisation of the Internet. Within Japan, USA and Europe major new initiatives have begun in the area.

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