(in lingua inglese)
In this paper, the concept of opposition-based learning has been employed to accelerate the HS algorithm. The notion of opposition-based learning has been utilized to introduce opposition-based HM initialization and opposition-based generation jumping. By embedding these two steps within the HS, an opposition-based HS algorithm is proposed in this paper. The proposed algorithm is tested on sixteen benchmark test functions. The simulation results demonstrate the effectiveness and robustness of the proposed algorithm to solve the benchmark test functions.