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dc.contributor.authorKakas, Antonis C.en
dc.contributor.authorMichael, Antoniaen
dc.creatorKakas, Antonis C.en
dc.creatorMichael, Antoniaen
dc.description.abstractThis article presents the design and implementation of an air-crew assignment system, for producing and refining a solution to this problem, based on the artificial intelligence principles and techniques of abductive reasoning as captured by the framework of abductive logic programming (ALP). The system offers a high level of flexibility in addressing both the tasks of crew scheduling and rescheduling. It can be used to generate a valid and good quality initial solution and then help the human operators adjust and refine further this solution in order to meet extra requirements of the problem. These additional needs can arise either due to new foreseen requirements that the company wants to have or experiment with for a particular period in time, or due to unexpected events that have occurred while the solution (crew-roster) is in operation. This work shows the ability and flexibility of abduction, and, more specifically, of ALP, in tackling problems of this type with complex and changing requirements.en
dc.sourceApplied Artificial Intelligenceen
dc.subjectArtificial intelligenceen
dc.subjectAir transportationen
dc.subjectAbductive reasoningen
dc.subjectLogic programmingen
dc.subjectAbductive logic programmingen
dc.subjectAir crew assignmenten
dc.subjectTransportation personnelen
dc.titleAn abductlve-based scheduler for air-crew assignmenten
dc.description.endingpage360 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.description.notes<p>Cited By :6</p>en
dc.contributor.orcidKakas, Antonis C. [0000-0001-6773-3944]

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