Abstract. A Dual Command (DC) cycle \dynamic sequencing" method in unit-load multiple-rack AS/RS system under Time-Of-Use (TOU) electricity tari s is applied in this paper. To make a type of energy-e cient model, overconsumption cost of on-peak period electricity, penalty cost of overconsumption of power, bounds on the total consumed energy, and accessible times of all facilities are considered in the model. Moreover, a Genetic Algorithm (GA) is developed to achieve a near-optimum solution to the suggested energy-based mathematical model with the objective of minimizing the total cost of the AS/RS system under TOU tari s. Considering that no benchmark is obtainable in the literature, a Simulated Annealing (SA) algorithm is developed to certify the outcome gained. For supplementary con rmation, we compare the total cost of our model with that of single-tari model and also conduct sensitivity analysis of the allowable amount of power consumption. The system throughput, in terms of time and cost, is calculated for the model too. In the last part, sixteen numerical examples with di erent numbers of required storage/retrieval orders are suggested to display the function of the proposed procedure. Our outcomes veri ed that GA is able to obtain favorable and closer optimal solutions and the TOU tari s model get the minimum total cost.