Agent based simulation of the dial-a-flight problem

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dc.contributor.authorReddy, Daniel Tharushen
dc.date.accessioned2020-01-23T10:47:13Z
dc.date.available2020-01-23T10:47:13Z
dc.date.issued2018
dc.descriptionA dissertation submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in ful lment of the requirements for the degree of Master of Science in Engineering.en_ZA
dc.description.abstractAgent based simulation and modelling (ABSM) has been noted as a novel method in solving complex problems. This dissertation makes use of the ABSM method in conjunction with a Genetic Algorithm to nd good solutions to the dial-a- ight problem. The task is to generate a schedule for a heterogeneous eet of aircraft, with the objective to reduce operational cost but maintain customer satisfaction. By making use of booking list data from an air taxi business, operating in the Okavango Delta, two agent based models were designed, the rst makes use of multi-criteria decision analysis (MCDA) and the other a method proposed by Campbell [7], to test their e ectiveness against either upper bound or manual solutions. The solution quality varied between tests, with booking list sizes between 10 and 200 requests producing improvements to the upper bound and manual results with a mean improvement from the benchmarks of 1.61%. The method could also be re ned further by adopting improvement mechanisms to nal schedules or by making use of retrospective decision making aided by self learning techniques.en_ZA
dc.description.librarianNG (2020)en_ZA
dc.format.extentOnline resource (xvi, 170 leaves)
dc.identifier.citationReddy, Daniel Tharushen (2018) Agent based simulation of the dial-a-flight problem, University of the Witwatersrand, Johannesburg,https://hdl.handle.net/10539/28752
dc.identifier.urihttps://hdl.handle.net/10539/28752
dc.language.isoenen_ZA
dc.subject.lcshParatransit services
dc.subject.lcshProduction scheduling
dc.titleAgent based simulation of the dial-a-flight problemen_ZA
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