Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{Malhotra:2011:GECCOcomp,
author = "Abhinav Malhotra and Varun Aggarwal",
title = "{HIER}-{HEIR}: an evolutionary system with
hierarchical representation \&\#38; contextual
operators applied to fashion design",
booktitle = "GECCO '11: Proceedings of the 13th annual conference
companion on Genetic and evolutionary computation",
year = "2011",
editor = "Natalio Krasnogor and Pier Luca Lanzi and
Andries Engelbrecht and David Pelta and Carlos Gershenson and
Giovanni Squillero and Alex Freitas and
Marylyn Ritchie and Mike Preuss and Christian Gagne and
Yew Soon Ong and Guenther Raidl and Marcus Gallager and
Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and
Nikolaus Hansen and Silja Meyer-Nieberg and
Jim Smith and Gus Eiben and Ester Bernado-Mansilla and
Will Browne and Lee Spector and Tina Yu and Jeff Clune and
Greg Hornby and Man-Leung Wong and Pierre Collet and
Steve Gustafson and Jean-Paul Watson and
Moshe Sipper and Simon Poulding and Gabriela Ochoa and
Marc Schoenauer and Carsten Witt and Anne Auger",
isbn13 = "978-1-4503-0690-4",
keywords = "genetic algorithms, genetic programming, Real world
applications: Poster",
pages = "215--216",
month = "12-16 " # jul,
organisation = "SIGEVO",
address = "Dublin, Ireland",
doi = "
doi:10.1145/2001858.2001980",
publisher = "ACM",
publisher_address = "New York, NY, USA",
abstract = "There has been considerable interest in using
evolutionary algorithms based techniques to design
creative systems. However, these techniques are either
too 'creative' and violate design constraints of the
domain, or, those catering to a limited search space,
but operating within design constraints. Our new
evolutionary system 'HIER-HEIR', is not only
creative(searches a large space effectively), but
creates only such designs which are valid with respect
to the design domain. Inspired by human design
methodology, the representation is a hierarchy of
components and the variation is contextual acting at
all levels of the hierarchy intelligently, facilitating
effective search in the design space with explicit
control over exploitation and exploration. We have
explained our technique with the metaphor of automatic
design of a fashion dress in this paper. The
experimental results validate our hypotheses with
regard to the system. With regard to previous work, our
technique is new both with regard to previously
published hierarchical systems and those designed for
evolving fashion designs.",
notes = "Also known as \cite{2001980} Distributed on CD-ROM at
GECCO-2011.
ACM Order Number 910112.",
}
Genetic Programming entries for Abhinav Malhotra Varun Aggarwal