Publication:
Population based Ant Colony Optmization on FPGA

dc.contributor.author Guntsch, M en_US
dc.contributor.author Middendorf, M en_US
dc.contributor.author Scheuermann, B en_US
dc.contributor.author Diessel, Oliver en_US
dc.contributor.author ElGindy, Hossam en_US
dc.contributor.author Schmeck, H en_US
dc.contributor.author So, K en_US
dc.date.accessioned 2021-11-25T13:27:07Z
dc.date.available 2021-11-25T13:27:07Z
dc.date.issued 2002 en_US
dc.description.abstract We propose to modify a type of ant algorithm called Population based Ant Colony Optimization (P-ACO) to allow implementation on an FPGA architecture. Ant algorithms are adapted from the natural behavior of ants and used to find good solutions to combinatorial optimization problems. General layout on the FPGA and algorithmic description are covered. The most notable achievements featured in this paper are a runtime reduction and including the approximation of the heuristic function by a small set of favored decisions which changes over time. en_US
dc.description.uri http://ieeexplore.ieee.org/servlet/opac?punumber=8456 en_US
dc.identifier.isbn 780375742 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/39670
dc.language English
dc.language.iso EN en_US
dc.publisher IEEE en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.title Population based Ant Colony Optmization on FPGA en_US
dc.type Conference Paper en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.description.publisherStatement ©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. en_US
unsw.identifier.doi https://doi.org/10.26190/unsworks/498
unsw.publisher.place Hong Kong en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofconferenceLocation Hong Kong, China en_US
unsw.relation.ispartofconferenceName IEEE International Conference on Field-Programmable Technology (FPT) en_US
unsw.relation.ispartofconferenceProceedingsTitle 2002 IEEE International Conference on Field-Programmable Technology (FPT'02), Proceedings en_US
unsw.relation.ispartofconferenceYear 2002 en_US
unsw.relation.ispartofpagefrompageto 125-132 en_US
unsw.relation.originalPublicationAffiliation Guntsch, M en_US
unsw.relation.originalPublicationAffiliation Middendorf, M en_US
unsw.relation.originalPublicationAffiliation Scheuermann, B en_US
unsw.relation.originalPublicationAffiliation Diessel, Oliver, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation ElGindy, Hossam, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Schmeck, H en_US
unsw.relation.originalPublicationAffiliation So, K, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.school School of Computer Science and Engineering *
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
fpt02guntsch_0200209659.pdf
Size:
145.31 KB
Format:
application/pdf
Description:
Resource type