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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/224421
- Analysing ethnic partnership matching using a grid-based evolutionary algorithm
- Walker, Lyndon
- The Modelling Social Change (MoSC) project is a Marsden funded study that investigated changes in the social structure of New Zealand by examining patterns of inter-ethnic partnering in married and de-facto relationships. One component of this study was a social simulation model of partnership formation that was populated with unit-level data from the New Zealand Census. The simulation was written in Java and run on the Auckland cluster of the BeSTGRID computer network (www.bestgrid.org). The processing power of the cluster allowed the simulation to be run at a city level, with unit-level data that provided demographic information for all of the single eighteen to thirty year olds listed in the census in the Auckland, Wellington and Canterbury regions. This presentation will explain how social simulation was used to supplement the traditional statistical analysis in examining partnership patterns. It will then discuss how the BeSTGRID cluster was used for the parallel processing of the simulation model, in order to use an evolutionary optimisation algorithm to search for optimal combinations of the partnering parameters.
- Publication type
- Conference paper
- Paper presented at the 61st Annual Conference of the New Zealand Statistical Association, Palmerson North, New Zealand, 29 June - 01 July 2010
- Publication year
- BeSTGRID computer network; Census data; Evolutionary optimisation algorithm; Partnership formation; Social simluation; Statistics
- New Zealand Statistical Association
- Publisher URL
- Copyright © 2010.