A port system simulation facility with an optimisation capability
Dahal, Keshav and Galloway, Stuart and Burt, Graeme and McDonald, Jim and Hopkins, Ian (2003) A port system simulation facility with an optimisation capability. International Journal of Computational Intelligence and Applications (IJCIA), 3 (4). pp. 395-410. ISSN 1469-0268 (http://dx.doi.org/10.1142/S1469026803001099)
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This paper details the optimization of bulk material port handling systems through the use of an evolutionary based approach. The effective management of port systems requires effective solutions for the design, operation and maintenance of these facilities. This has to be achieved through a reduction in financial costs, and an increase in the utilization of equipment and other resources. The operation of a port system is complex and difficult to model mathematically. Consequently, through the explicit characterization of port components, a port modeling tool was developed that permits the generic construction of port simulation models. A genetic algorithm based approach was developed to provide an optimization capability to the port simulation tool. Two case studies based on real world port systems are presented and the results are discussed. A significant improvement is demonstrated in both the operational and economic performance as a result of the GA/model interaction.
ORCID iDs
Dahal, Keshav, Galloway, Stuart ORCID: https://orcid.org/0000-0003-1978-993X, Burt, Graeme ORCID: https://orcid.org/0000-0002-0315-5919, McDonald, Jim ORCID: https://orcid.org/0000-0002-7078-845X and Hopkins, Ian;-
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Item type: Article ID code: 7060 Dates: DateEventSeptember 2003PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Engineering > Electronic and Electrical Engineering
Professional Services > Corporate Services DirectorateDepositing user: Strathprints Administrator Date deposited: 27 Oct 2008 Last modified: 11 Nov 2024 08:41 URI: https://strathprints.strath.ac.uk/id/eprint/7060