charged system search algorithm

After construction of dams according to different needs, the most important issue addressed by the exploiters and researchers is the issue of optimum operation management of reservoirs. In recent years, various meta-heuristic optimization techniques have been used for the reservoir operation optimization. In this study, an improved version of Charged System Search algorithm is presented to enhance the exploration ability and escape from local optima. For this purpose, a special mutation operator is used and a Mutant Charged System Search algorithm is introduced. Then, the validation and evaluation of the efficiency of this new improved algorithm are compared with other well-known meta-heuristic algorithms in solving the mathematical benchmark optimization problems. The new method achieves optimal results for 17 functions out of 18 functions. The proposed algorithm is used to solve two benchmark problems of operations of multireservoir sestem, namely four- and ten- reservoir sestems. Accordingly, the best values are obtained 308.29 and 1194.23, respectively. Finally, the efficiency of the algorithm for optimizing the operation of the two-reservoir system (Gorgan-Rood basin dams) is evaluated using various performance evaluation criteria. The results show the proper performance of the CSS algorithm and its mutated version in solving the multi-reservoir operation optimization problems. According to the results, the best solution achieved by the proposed algorithm is 0.22. Also, this algorithm showed the best performance by providing 94.63% and 95.30% of total demands of Golestan- Voshmgir multi-reservoir system.