The genetic algorithm for disease cluster detection is fast and exhibits less variance compared to similar approaches; The potential use for epidemiological studies and syndromic surveillance is encouraged; The need of penalty functions for the irregularity of cluster's shape is clearly demonstrated by the power evaluation tests; The power of detection of clusters is similar to the simulated annealing algorithm; The flexibility of shape control gives to the practitioner more insight of the geographic cluster delineation.