An adaptive simplified human learning optimization algorithm

Optimal power flow calculation in AC/DC hybrid power system based on adaptive simplified human learning optimization algorithm

“…Adaptive simplified human learning optimization(ASHLO) algorithm involves the random learning operator, individual learning operator, social learning operator [25][26][27], and adaptive strategies [18], which are mimicking human learning process, to find the optimal solution of the optimization problem. The remarkable feature of the ASHLO method is not easy falling into the local optima.…”

“…According to the random learning operator, individual learning operator, and social learning operator, new individuals can be updated in (18) iteratively based on the experience knowledge stored in the B IKD and D SKD .…”

“…To avoid falling into the local optima and improve the robustness of the ASHLO method, adaptive strategies are proposed in [18] to improve the search efficiency and relieve the effort of the parameters setting, since p r and p i influence the computation performance of the algorithm. Therefore, the adaptive strategies put forward in (19), which involves updating p r and p i adaptively.…”

“…Luckily, an adaptive simplified human learning optimization (ASHLO) method emerges [18], which updates new solutions and searches for the optimal solution by mimicking the human learning process. The random learning operator, individual learning operator, social learning operator and adaptive strategies are involved in the ASHLO method.…”

“…The random learning operator, individual learning operator, social learning operator and adaptive strategies are involved in the ASHLO method. The excellence of global search ability and the robustness for various problems [18] are the primary characteristics of the ASHLO method. Therefore, application of ASHLO method to solve OPF problem in AC/DC hybrid power system including wind farms integration is main contribution of this paper.…”