Publication:
An exploration technique for the interacted multiple ant colonies optimization framework

Simple item page
dc.Conferencecode79919
dc.Conferencedate27 January 2010 through 29 January 2010
dc.ConferencelocationLiverpool
dc.ConferencenameUKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2010
dc.citedby2
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Utara Malaysia (UUM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorAljanaby A.en_US
dc.contributor.authorKu-Mahamud K.R.en_US
dc.contributor.authorNorwawi N.Md.en_US
dc.date.accessioned2024-05-28T08:25:43Z
dc.date.available2024-05-28T08:25:43Z
dc.date.issued2010
dc.description.abstractInteracted Multiple Ant Colonies Optimization (IMACO) is a newly proposed framework. In this framework several colonies of artificial ants are utilized. These colonies are working cooperatively to solve an optimization problem using some interaction technique. Exploration technique is doing an essential job in this framework. This technique is responsible for directing the activity of utilized colonies towards the different parts of the huge search space. This paper describes the newly proposed IMACO framework and proposes an effective exploration technique. Computational tests show that the new exploration technique can furthermore improve the IMACO performance. These tests also show the capability of IMACO to outperform other well known ant algorithms like ant colony system and max-min ant system. � 2010 IEEE.
dc.description.natureFinalen_US
dc.identifier.ArtNo5416116
dc.identifier.doi10.1109/ISMS.2010.28
dc.identifier.epage95
dc.identifier.isbn9780770000000
dc.identifier.scopus2-s2.0-77950922583
dc.identifier.spage92
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77950922583&doi=10.1109%2fISMS.2010.28&partnerID=40&md5=643af884c98cde379bbe76f1cdfa3191
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8673
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartofISMS 2010 - UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation
dc.sourceScopus
dc.subjectAnt colony optimizationen_US
dc.subjectCombinatorial optimization problemsen_US
dc.subjectExploitationen_US
dc.subjectExplorationen_US
dc.subjectSearch stagnationen_US
dc.subjectAnt algorithmsen_US
dc.subjectAnt coloniesen_US
dc.subjectAnt colony systemsen_US
dc.subjectAnt-colony optimizationen_US
dc.subjectArtificial anten_US
dc.subjectCombinatorial optimization problemsen_US
dc.subjectComputational testsen_US
dc.subjectExploration techniquesen_US
dc.subjectInteraction techniquesen_US
dc.subjectMax-Min Ant Systemen_US
dc.subjectOptimization frameworken_US
dc.subjectOptimization problemsen_US
dc.subjectSearch spacesen_US
dc.subjectAlgorithmsen_US
dc.subjectIntelligent systemsen_US
dc.titleAn exploration technique for the interacted multiple ant colonies optimization framework
dc.typeConference Paperen_US
dspace.entity.typePublication

Files

Collections

Scopus