Distributed tabusearch algorithm for solving the economic dispatch problem

In this paper proposed a novel method based on simple Tabu Search Algorithm (TSA) to solves Economic Dispatch (ED) problem for thermal plants, which we call Distributed Tabu Search Algorithm (DTSA). This proposed method to improved TSA by addition distributed computation, local updating and global updating solutions to simple tabu search algorithm. The proposed method guarantees the near optimal solution and remarkably reduces the computation time. This proposed method is implemented with MATLAB program to solve economic dispatch problem with various case study. The results show that DTSA can converges to optimum solution faster than TSA and obtains the solution with high accuracy and less than Genetic Algorithm, Hopfield Neural Network and TSA.