Resolution of the inverse problem for iterated function systems using Evolutionary Algorithms
Authors: Sarafopoulos, A. and Buxton, B.
Pages: 1071-1078
Abstract:The resolution of the inverse problem for iterated function systems (IFS) is a problem that has remained open, currently there is no general solution that requires no human interaction and provides optimal results. Here we present a novel approach to the resolution of the general inverse problem for IFS using segmentation of target images in conjuction with an Evolutionary Algorithm that is a Genetic Programming-Evolutionary Strategies hybrid. © 2006 IEEE.
Source: Scopus
Resolution of the inverse problem for iterated function systems using Evolutionary Algorithms
Authors: Sarafopoulos, A. and Buxton, B.
Pages: 1056-+
ISBN: 978-0-7803-9487-2
Source: Web of Science (Lite)
Resolution of the Inverse Problem for Iterated Function Systems using Evolutionary Algorithms
Authors: Sarafopoulos, A. and Buxton, B.
Editors: Yen, G.G., Lucas, S.M., Fogel, G., Kendall, G., Salomon, R., Zhang, B.-T., Coello, C.A. and Runarsson, T.P.
Pages: 1071-1078
Publisher: IEEE Press
Place of Publication: New York
Abstract:The resolution of the inverse problem for iterated function systems (IFS) is a problem that has remained open, currently there is no general solution that requires no human interaction and provides optimal results. Here we present a novel approach to the resolution of the general inverse problem for IFS using segmentation of target images in conjuction with an Evolutionary Algorithm that is a Genetic Programming-Evolutionary Strategies hybrid
http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=11108
Source: Manual
Preferred by: Ari Sarafopoulos