Tracer spectrum : a visualisation method for distributed evolutionary computation

Files in This Item:
File Description SizeFormat 
oneillTracerSpectrumGPEM2011.pdf324.27 kBAdobe PDFDownload
Title: Tracer spectrum : a visualisation method for distributed evolutionary computation
Authors: O'Neill, Michael
Brabazon, Anthony
Hemberg, Erik
Permanent link: http://hdl.handle.net/10197/3540
Date: Sep-2011
Abstract: We present a novel visualisation method for island-based evolutionary algorithms based on the concept of tracers as adopted in medicine and molecular biology to follow a biochemical process. For example, a radioisotope or dye can be used to replace a stable component of a biological compound, and the signal from the radioisotope can be monitored as it passes through the body to measure the compound’s distribution and elimination from the system. In a similar fashion we attach a tracer dye to individuals in each island, where each individual in any one island is marked with the same colour, and each island then has its own unique colour signal. We can then monitor how individuals undergoing migration events are distributed throughout the entire island ecosystem, thereby allowing the user to visually monitor takeover times and the resulting loss of diversity. This is achieved by visualising each island as a spectrum of the tracer dye associated with each individual. Experiments adopting different rates of migration and network connectivity confirm earlier research which predicts that island models are extremely sensitive to the size and frequency of migrations
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Springer
Copyright (published version): 2010 Springer
Keywords: Evolutionary computation;Visualisation;Distributed EC
Subject LCSH: Evolutionary computation
Visualization
Tracers (Chemistry)
DOI: 10.1007/s10710-010-9125-y
Language: en
Status of Item: Peer reviewed
Appears in Collections:Computer Science Research Collection
CASL Research Collection

Show full item record

SCOPUSTM   
Citations 50

1
Last Week
0
Last month
checked on Jun 22, 2018

Page view(s) 10

182
checked on May 25, 2018

Download(s) 50

147
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.