Abstract: The genetic algorithms are known to be efficient for global optimizing. They are, however, prone to premature convergence and not well suited to perform finely tuned local searches. This paper suggests combining a genetic based algorithm with a simple heuristic local tuning method to improve the efficiency of optimization. The case study shows that the procedure is efficient, robust and practical.