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dc.contributor.authorChristodoulou, Symeon E.en
dc.creatorChristodoulou, Symeon E.en
dc.date.accessioned2019-04-18T06:18:46Z
dc.date.available2019-04-18T06:18:46Z
dc.date.issued2009-05
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/45292
dc.description.abstractThe paper presents a methodology to arrive at critical path calculations in construction networks by imitating the natural selection processes utilized by real-life ants in search of shortest paths to a food source, and by using Ant Colony Optimization (ACO) algorithms. Ant Colony Optimization is a population-based, artificial multi-agent, general-search technique for the solution of difficult combinatorial problems with its theoretical roots based on the behavior of real ant colonies. The fundamental mathematical background of the ACO method is outlined and a suggested possible implementation strategy is described for solving for longest (critical) paths in construction schedule networks. The ACO methodology should be of interest to both researchers and practitioners since it provides an alternative method to critical path calculations, with a wide range of applications. The described ACO virtual multi-agent approach is supplemented by a sample case study as well as algorithms for the solution of resource-unconstrained construction schedules.en
dc.language.isoengen
dc.sourceAutomation in Constructionen
dc.source.urihttp://search.proquest.com/docview/33117100?accountid=17200
dc.subjectMethodologyen
dc.subjectMathematical analysisen
dc.subjectOptimizationen
dc.subjectAlgorithmsen
dc.subjectArticleen
dc.subjectCivil Engineering (CE)en
dc.subjectConstructionen
dc.subjectSchedulesen
dc.subjectSchedulingen
dc.subjectNetworksen
dc.subjectColoniesen
dc.subjectComputer & Information Systems (CI)en
dc.subjectFoodsen
dc.subject10: Construction Engineering (General) (CE)en
dc.subject40: Control and Systems (General) (EA)en
dc.subject65: Roboticsen
dc.subjectand Applications (CI)en
dc.subjectAntsen
dc.subjectCombinatorial analysisen
dc.subjectElectronics & Communication (EA)en
dc.subjectExpert Systemsen
dc.subjectMultiagent systemsen
dc.subjectRootsen
dc.subjectSearchingen
dc.subjectShortest-path problemsen
dc.subjectStrategyen
dc.titleConstruction imitating ants: Resource-unconstrained scheduling with artificial antsen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doihttp://dx.doi.org/10.1016/j.autcon.2008.09.005
dc.description.volume18
dc.description.issue3
dc.description.startingpage285
dc.description.endingpage293
dc.author.facultyΠολυτεχνική Σχολή /Faculty of Engineering
dc.author.departmentΤμήμα Πολιτικών Μηχανικών και Μηχανικών Περιβάλλοντος / Department of Civil and Environmental Engineering
dc.type.uhtypeArticleen
dc.contributor.orcidChristodoulou, Symeon E. [0000-0002-9859-0381]


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