GA-FIS for Dynamic Environment
Radek Matoušek, Pavel Ošmera, Jan Roupec · 2000
Applications of Genetic Algorithms (GAs) for optimization problems are widely known as well as their advantages and disadvantages in comparison with classical numerical methods. This article discusses GA possibilities for search of the time variously optimum. The classical haploid GA versus new designed GA-FIS (GA with Fuzzy Inference System) was tested. A balance between the utilization of the whole space and the detailed searching of some parts can be adapted to pressure of selection and recombination operators. This balance is critical for a GA behavior, because the operators have a direct influence on the GA convergence. The GA-FIS uses the adaptive change of GA operators during the run of a GA. Statistic methods are used for appraisal of affectivity of GA-FIS.