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dc.contributor.authorDuggan, Jim
dc.identifier.citationDuggan, J. (2005) 'Using multiple objective optimisation to generate policy insights for system dynamics models.' 23rd International Conference of the Systems Dynamics Society.en_US
dc.descriptionConference paperen_US
dc.description.abstractMultiple objective optimisation (MOO) is an optimisation approach that has been widely used to solve optimisation problems with more than one objective function. The benefit of this approach is that it generates a set of non-dominated solutions which a policy maker can explore and evaluate before making a final optimal selection. This paper demonstrates that MOO can be used to assist policy makers explore a richer set of alternatives when deciding on a range of values for key parameters in their system dynamics model. In order to demonstrate the approach, a well-known case study "The Domestic Manufacturing Company" is used, and a stock and flow model and a multiple objective optimiser are designed and coded. The results show that valid solutions are generated, and that each of these solutions can be examined independently - and hence give greater insight into the problem at hand - before a decision is made as to the most appropriate solution.en_US
dc.publisherSystem dynamics societyen_US
dc.relation.ispartof23rd International Conference of the Systems Dynamics Societyen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.subjectSystem dynamicsen_US
dc.subjectMultiple objective optimisationen_US
dc.titleUsing multiple objective optimisation to generate policy insights for system dynamics models.en_US
dc.typeConference Paperen_US
dc.local.contactJames Duggan, Dept. Of Information Technology, I.T. Building, Nui Galway. 3336 Email:

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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland