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» Swarming methods for geospatial reasoning
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BMCBI
2006
146views more  BMCBI 2006»
13 years 5 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
GIS
2007
ACM
14 years 6 months ago
An interactive framework for raster data spatial joins
Many Geographic Information System (GIS) applications must handle large geospatial datasets stored in raster representation. Spatial joins over raster data are important queries i...
Wan D. Bae, Petr Vojtechovský, Shayma Alkob...
CSI
2006
136views more  CSI 2006»
13 years 5 months ago
A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems
In a distributed system, a number of application tasks may need to be assigned to different processors such that the system cost is minimized and the constraints with limited reso...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 11 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
ICAIL
2009
ACM
13 years 11 months ago
Reasoning with spatial plans on the semantic web
ct Land use regulations are an important but often underrated legal domain. Especially in densely populated regions such as the Netherlands, spatial plans have a profound impact on...
Rinke Hoekstra, Radboud Winkels, Erik Hupkes