Genetic algorithms for optimization of thematic regional clusters

Genetic algorithms are search procedure, based on mechanics of natural genetics, able to provide robust search in complex problem spaces. The substance of the solution is to find optimal traffic flow between explicit junctions. We can say it is solution for traffic systems. GA is possible to use also for non-traffic solutions of regional problems such as for development of tourism. Tourism is the world\´s largest industry and one of the fastest growing and as such faces exciting opportunities and tough challenges in a fast-changing and increasingly competitive global market. There are many local authorities all over the world that embark on a bold new direction in pursuing their local\´s (or state\´s) economic development in establishing of clusters. A cluster is defined, in simplest terms, as a geographic region containing enough companies that have similar or related needs and interests to generate external economies of scale and produce innovation. This paper solves the problem how to put together theses companies to have simple connection between them. Topic of paper is connected to our paper Pre-Computation of Regional Data for Optimization Analysis in EUROCON 2005 - The International Conference on "Computer as a Tool".