Improving exploration in Ant Colony Optimisation with antennation

dc.contributor.authorBeer, Christopher
dc.contributor.authorHendtlass, Tim
dc.contributor.authorMontgomery, James
dc.coverage.spatialBrisbane Australia
dc.date.accessioned2012-07-04T01:54:42Z
dc.date.available2012-07-04T01:54:42Z
dc.date.createdJune 10-15 2012
dc.date.issued2012-06
dc.date.updated2015-12-10T11:20:54Z
dc.description.abstractAnt Colony Optimisation (ACO) algorithms use two heuristics to solve computational problems: one long-term (pheromone) and the other short-term (local heuristic). This paper details the development of antennation, a mid-term heuristic based on an analogous process in real ants. This is incorporated into ACO for the Travelling Salesman Problem (TSP). Antennation involves sharing information of the previous paths taken by ants, including information gained from previous meetings. Antennation was added to the Ant System (AS), Ant Colony System (ACS) and Ant Multi-Tour System (AMTS) algorithms. Tests were conducted on symmetric TSPs of varying size. Antennation provides an advantage when incorporated into algorithms without an inbuilt exploration mechanism and a disadvantage to those that do. AS and AMTS with antennation have superior performance when compared to their canonical form, with the effect increasing as problem size increases.
dc.description.sponsorshipIEEE Computational Intelligence Societyen_AU
dc.format8 pages
dc.identifier.citationBeer, C, Hendtlass, T. & Montgomery, J. (2012, June). Improving exploration in Ant Colony Optimisation with antennation. Paper presented at the 2012 IEEE Congress on Evolutionary Computation (CEC), Brisbane, Australia, June 10-15, 2012 (pp. 2926-2933) [and] 2012 IEEE World Congress on Computational Intelligence. Piscataway, NJ: IEEE CEC
dc.identifier.isbn978-1-4673-1508-1
dc.identifier.isbn978-1-4673-1510-4
dc.identifier.otherINSPEC Accession Number: 12910073
dc.identifier.urihttp://hdl.handle.net/1885/9120
dc.publisherIEEE
dc.relation.ispartofseriesIEEE Congress on Evolutionary Computation (CEC 2012)
dc.rightshttp://www.ieee.org/publications_standards/publications/rights/ieeecopyrightform.pdf "… Authors and/or their employers shall have the right to post the accepted version of IEEE-copyrighted articles on their own personal servers or the servers of their institutions or employers without permission from IEEE, provided that the posted version includes a prominently displayed IEEE copyright notice and, when published, a full citation to the original IEEE publication, including a link to the article abstract in IEEEXplore. Authors shall not post the final, published versions of their papers." From January 2011, "the following copyright notice must be displayed on the initial screen displaying IEEE copyrighted material": ": "© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works." - from publisher web site (as at 24/03/11)
dc.source2012 IEEE Congress on Evolutionary Computation Proceedings
dc.subjectAnt Colony Optimisation
dc.subjectoptimisation
dc.subjectTravelling Salesman Problem
dc.subjectantennation
dc.subjectmid-range heuristic
dc.subjectadaptive arrays
dc.subjectconvergence
dc.subjecteducational institutions
dc.subjectequations
dc.subjectinsects
dc.subjectoptimization
dc.titleImproving exploration in Ant Colony Optimisation with antennation
dc.typeConference paper
dcterms.dateAccepted2012
local.contributor.affiliationBeer, Christopher, Swinburne University of Technology, SUCCESS
local.contributor.affiliationHendtlass, Tim, Swinburne University of Technology, SUCCESS
local.contributor.affiliationMontgomery, James, ANU, Research School of Computer Science
local.contributor.authoruidu5072917en_AU
local.description.notesJames Montgomery also identified as Erin Montgomeryen_AU
local.description.refereedYes
local.identifier.absfor080108 - Neural, Evolutionary and Fuzzy Computation
local.identifier.ariespublicationf5625xPUB1863
local.identifier.doi10.1109/CEC.2012.6252923
local.identifier.scopusID2-s2.0-84866844064
local.publisher.urlhttp://www.ieee.org/index.htmlen_AU
local.type.statusAccepted Versionen_AU

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