Pareto-based genetic algorithm in multi-objective geospatial analysis

This work studies the 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. Within the studies it is tested and suggested an adaptive mechanism for mutation parameter based on the determinstic approach. The application of the suggested multi-objective Pareto based genetic algorithm over selected location problems demonstrates its ability of the discovery of multiple compromise solutions in a real spatial problem domain.