Determination of appropriate values of genetic algorithm parameters in optimization of gravity dams cross section

Application of optimizer algorithms، in cross section optimization of gravity dams and finding optimal geometric dimensions of structure using this method is one of the problems which have been considered by designers. Genetic Algorithm (GA) is one of the intelligent algorithms that apply Fitness، Selection، Mutation and Crossover، as operators to solve problems. In this research، the sensitivity of the prepared simulator-optimizer model was investigated in relation to variation of the replication rate، population size، mutation rate and the selection rate. In optimization of gravity dams cross section by Genetic algorithm، at the best state، replication rate، the initial population، the mutation rate and the selection rate were obtained 30، 50، 0. 3 and 0. 5، respectively. This data can be used as input parameters in optimization model to study about other dams.