- OUR Archive Home
- →
- School of Business Departments
- →
- Department of Information Science
- →
- Spatial Information Research Centre
- →
- Search
JavaScript is disabled for your browser. Some features of this site may not work without it.
Search
Search Results for Collection: Spatial Information Research Centre
Now showing items 1-9 of 9
-
(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), 17th Annual Colloquium of the Spatial Information Research Centre (SIRC 2005: A Spatio-temporal Workshop), 2005)Genetic drift is a well known and important force in directing the evolution of a population. The nature of genetic drift in panmictic populations is well understood, and new research is shedding light on the behaviour of ... -
(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)This short paper discusses how space is introduced within evolutionary models and reviews several approaches from the literature. In particular, the Moran process is used as one type of model that has been described in ... -
(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)This paper considers spatially-structured populations described as a network, and examines the properties of these networks in terms of their affect on fixation of neutral alleles due solely to genetic drift. Individuals ... -
(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 ... -
(Conference or Workshop Item (Paper), 15th Annual Colloquium of the Spatial Information Research Centre (SIRC 2003: Land, Place and Space), 2003)The use of space for supporting evolution has been previously studied in the context of distributed Genetic Algorithms (DGA), where two standard approaches, island and grid based, are employed to define the population ... -
(Conference or Workshop Item (Paper), 15th Annual Colloquium of the Spatial Information Research Centre (SIRC 2003: Land, Place and Space), 2003)A niching technique is an important component of the genetic algorithm when attempting to solve problems that have multiple optimal solutions. Traditional niching techniques use an explicit concept of similarity to perform ...
Now showing items 1-9 of 9