Publication:
An Exploration Technique for the Interacted Multiple Ant Colonies Optimization Framework

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dc.ConferencecodeIEEE Comp Soc, UK & RI Sect, Asia Modelling & Simulat Soc, UK Simulat Soc (UKSim), European Simulat Federat, European Council Modelling & Simulat (ECMS), Liverpool Univ, Univ Technol Malaysia (UTM), Norway Univ Sci & Technol, Nottingham Trent Univ
dc.ConferencedateJAN 27-29, 2010
dc.ConferencelocationLiverpool, ENGLAND
dc.ConferencenameUKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation
dc.contributor.authorAljanaby, Aen_US
dc.contributor.authorKu-Mahamud, KRen_US
dc.contributor.authorNorwawi, NMen_US
dc.date.accessioned2024-05-29T02:50:06Z
dc.date.available2024-05-29T02:50:06Z
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.
dc.identifier.epage+
dc.identifier.issn2381-4772
dc.identifier.scopusWOS:000283804300018
dc.identifier.spage92
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10996
dc.languageEnglish
dc.language.isoen_US
dc.publisherIeee Computer Socen_US
dc.relation.ispartofUksim-Amss First International Conference On Intelligent Systems, Modelling And Simulation
dc.sourceWeb Of Science (ISI)
dc.subjectant colony optimizationen_US
dc.subjectcombinatorial optimization problemsen_US
dc.subjectsearch stagnationen_US
dc.subjectexplorationen_US
dc.subjectexploitationen_US
dc.titleAn Exploration Technique for the Interacted Multiple Ant Colonies Optimization Framework
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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