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Search Results for Collection: Spatial Information Research Centre
Now showing items 1-4 of 4
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(Conference or Workshop Item (Paper), 19th Annual Colloquium of the Spatial Information Research Centre (SIRC 2007: Does Space Matter?), 2007)The ability to discover and maintain multiple solutions within a single run is a desirable property for evolutionary algorithms. Researchers have previously turned to many biologically-inspired methods for inspiration to ... -
(Conference or Workshop Item (Paper), 16th Annual Colloquium of the Spatial Information Research Centre (SIRC 2004: A Spatio-temporal Workshop), 2004)Spatially-structured populations play an important role in controlling selection pressure in evolutionary algorithms. The imposing space on a evolving population has traditionally been biased toward the underlying architecture ... -
(Conference or Workshop Item (Paper), 18th Annual Colloquium of the Spatial Information Research Centre (SIRC 2006: Interactions and Spatial Processes), 2006)Multiobjective evolutionary algorithms (MOEAs) are useful tools capable of searching problems that contain several conflicting criteria. Although MOEAs have been shown to be capable of finding a wide spread of Pareto-optimal ... -
(Conference or Workshop Item (Paper), 17th Annual Colloquium of the Spatial Information Research Centre (SIRC 2005: A Spatio-temporal Workshop), 2005)Niching methods are a useful extension of evolutionary computation that allow evolutionary algorithms to be applied in multimodal problem domains. Current niching methods use either one of two methods to promote the formation ...
Now showing items 1-4 of 4