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Research was conducted into application of genetic algorithm to determine the optimal transformation parameters that are needed for georeferencing scanograms and various digital images. An algorithm based on techique of surface matching was developed, instead of conventional methods using control points. Tests were conducted using the segment of topographic map, produced in time of Austro-Hungarian Empire (represented by numerical model) and modern DEM of Sarajevo Canton. Due to relatively coarse resolution of use...

This work studies the development and application of the multi-objective genetic algorithm based on the Pareto approach, as a tool for the decision making support in the geospatial analysis. Pareto-based evolutionary mechanism developed as an approach to multi-objective geospatial optimisation operates with fixed parameters of genetic operators. It can be used as efficient tool for multi-objective planning both for their power and flexibility and the fact that they generate a whole set of good solutions rather tha...