The paper proposes an Orthogonal Genetic Algorithm(OGA) that combines Genetic Algorithm(GA) with Orthogonal Design.Orthogonal Design determines interval level
GA is performed in the interval level.The Orthogonal Design can find an interval that contains the best solution
GA is performed again in the interval level
The Orthogonal Design can again find an interval that contains the best solution
GA is performed again in the interval level
the interval level gets smaller and smaller.At last
it gets one point.The point is expected optimal point of interval levels.The paper has proved that GA is able to converge to the global optimum.Computer simulation is performed
the result shows that OGA is efficient and feasible.