Publication:
Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework

Simple item page
dc.Conferencecode81070
dc.Conferencedate15 February 2010 through 17 February 2010
dc.ConferencelocationInnsbruck
dc.Conferencename10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
dc.citedby1
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.accessioned2024-05-29T01:57:44Z
dc.date.available2024-05-29T01:57:44Z
dc.date.issued2010
dc.description.abstractInteracted Multiple Ant Colonies Optimization (IMACO) is a newly proposed framework. Pheromone evaluation mechanism is playing a central role in this framework. This paper describes the newly proposed IMACO framework and proposes a more effective pheromone evaluation mechanism. Computational tests show that the new pheromone evaluation mechanism 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.description.natureFinalen_US
dc.identifier.epage15
dc.identifier.isbn9780890000000
dc.identifier.scopus2-s2.0-77954598967
dc.identifier.spage12
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77954598967&partnerID=40&md5=f0a71a4101236cc23350daa6c747f9fc
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9950
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartofProceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
dc.sourceScopus
dc.subjectAnt colony optimizationen_US
dc.subjectCombinatorial optimization problemsen_US
dc.subjectPheromone evaluationen_US
dc.subjectSearch stagnationen_US
dc.subjectAnt algorithmsen_US
dc.subjectAnt coloniesen_US
dc.subjectAnt colony systemsen_US
dc.subjectAnt-colony optimizationen_US
dc.subjectCombinatorial optimization problemsen_US
dc.subjectComputational testsen_US
dc.subjectMax-Min Ant Systemen_US
dc.subjectOptimization frameworken_US
dc.subjectAlgorithmsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectCombinatorial optimizationen_US
dc.titleRevisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
dc.typeConference Paperen_US
dspace.entity.typePublication

Files

Collections

Scopus