A new optimization method combining traditional methods with Genetic Algorithm was developed to find better solutions than traditional methods alone. By using a mix of approaches, the researchers aimed to avoid local optima and improve global search capabilities. The hybrid optimization method was enhanced with knowledge-based reasoning to make it more efficient in mathematical modeling and algorithm selection. Testing the method on nonlinear mathematical models showed its effectiveness in finding optimal solutions.