Real-coded adaptive range genetic algorithm and its application to aerodynamic design

Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been developed. T he real-coded ARGAs possess both advantages of the binary-coded ARGAs and t he use of the floating point representation to overcome the problems of hav ing a large search space that requires continuous sampling. First, the effi ciency and the robustness of the proposed approach are demonstrated by test functions. Then the proposed approach is applied to an aerodynamic airfoil shape optimization problem. The results confirm that the real-coded ARGAs consistently find better solutions than the conventional real-coded Genetic Algorithms do. The designed airfoil shape is considered to be the global o ptimal and thus ensures the feasibility of the real-coded ARGAs in aerodyna mic designs.