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Titlebook: Computational Science and Its Applications - ICCSA 2010; International Confer David Taniar,Osvaldo Gervasi,Bernady O. Apduhan Conference pr

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Improving the Calibration of the MOLAND Urban Growth Model with Land-Use Information Derived from a atellite images have a temporal and spatial resolution that is ideally suited for model calibration, and could therefore be an important information source to improve the performance of land-use change models. In this research, a calibration framework based on remote sensing data is proposed for the
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A Fuzzy Cellular Automata Modeling Approach – Accessing Urban Growth Dynamics in Linguistic Termsc terms. In this approach a set of parallel fuzzy systems is used, each one of which focuses on different aspects of the urban growth dynamics, different drivers or restriction of development and concludes over the suitability for urbanization for each area. As a result the systems’ structure and co
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A Comparison of Evolutionary Algorithms for Automatic Calibration of Constrained Cellular Automataegy, (./. + .) Evolution Strategy, generational and elitist Covariance Matrix Adaptation) for automatic calibration of a constrained cellular automaton (CCA), whose performance are assessed in terms of two fitness metrics (based on Kappa statistics and Lee-Salee Index). Two variations of the CCA (on
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