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Cellular automata urban growth model calibration with genetic algorithms
2007
2007 Urban Remote Sensing Joint Event
Last few decades witness a dramatic increase in city population worldwide associated with excessive urbanization rates. This raises the necessity to understand the dynamics of urban growth process for sustainable distribution of available resources. Cellular automata, an artificial intelligence technique composed of pixels, states, neighborhood and transition rules, is being widely implemented to model the urban growth process due to its ability to fit such complex spatial nature using simple
doi:10.1109/urs.2007.371826
fatcat:prnwefc33baejn5gtlkc3sbn54