Calibration of GA Parameters for Layout Design Optimization Problems Using Design of Experiments

In manufacturing-cell-formation research, a major concern is to make groups of machines into machine cells and parts part families. Extensive work has been carried out in this area using various models techniques. Regarding these ideas, paper, experiments with varying parameters the popular metaheuristic algorithm known as genetic have bi-criteria objective function: minimization intercell moves cell load variation. The probability crossover (A), mutation (B), balance weight factor (C) are considered for study. data sets used paper taken from benchmarked literature field. results promising regarding determining optimal combination machine-cell-formation problems