The main goal of the demand side management program is shaping the load demand from peak load period to off-load period to reduce the generation cost. In the literature, various types of load shaping objectives available such as load shifting, valley filling, and peak clipping. In this paper, two optimization algorithms hybrid for load shaping. We have considered the BAT and Particle Swarm Optimization (PSO) algorithms in our work. These algorithms turn on/off the devices in an optimal way to reduce the cost and load consumption. The algorithm is simulated in MATLAB for two case studies in which 3 and 5 devices are taken under consideration. We have measured the total load consumption, cost, and execution time for the proposed algorithm and compared it with the existing algorithms. The results show that the proposed algorithm provides less load consumption and cost as compared to Normal ON-OFF and PSO algorithm.