APPLICATION OF THE MULTI-OBJECTIVE PARETO-BASED GENETIC ALGORITHM IN SOLVING GEOSPATIAL OPTIMISATION PROBLEMS

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 than just one "optimal" solution. The implementation of the suggested multi-objective Pareto based genetic algorithm over selected geospatial optimisation problem of fire station location demonstrates its ability of the discovery of multiple compromise solutions in a real spatial problem domain.