Dynamic ant : introducing a new benchmark for genetic programming in dynamic environments

Files in This Item:
File Description SizeFormat 
UCD-CSI-2011-04.pdf3.27 MBAdobe PDFDownload
Title: Dynamic ant : introducing a new benchmark for genetic programming in dynamic environments
Authors: Fagan, David
Nicolau, Miguel
Hemberg, Erik
O'Neill, Michael
Brabazon, Anthony
Permanent link: http://hdl.handle.net/10197/3570
Date: 14-Apr-2011
Abstract: In this paper we present a new variant of the ant problem in the dynamic problem domain. This approach presents a functional dynamism to the problem landscape, where by the behaviour of the ant is driven by its ability to explore the search space being constrained. This restriction is designed in such a way as to ensure that no generalised solution to the problem is possible, thus providing a functional change in behaviour.
Funding Details: Science Foundation Ireland
Type of material: Technical Report
Publisher: University College Dublin. School of Computer Science and Informatics
Keywords: Genetic programming;Grammatical evolution;Dynamic environments
Subject LCSH: Genetic programming (Computer science)
Evolutionary computation
Language: en
Status of Item: Not peer reviewed
Appears in Collections:Computer Science Research Collection
CASL Research Collection

Show full item record

Page view(s) 10

179
checked on May 25, 2018

Download(s) 50

154
checked on May 25, 2018

Google ScholarTM

Check


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.