عنوان مقاله [English]
The optimal operation of a reservoir is one of the most important optimization problems in water resource engineering. Many different methods have been devised and used for optimal operation of reservoirs. Nowadays, meta-heuristic algorithms are being used more and more to solve optimization problems in water resources engineering and, in particular, reservoir operation problems. In this paper, the problems of a simple and hydropower operation of reservoirs is solved with a new version of the Ant Algorithm, called Max-Min Ant System (MMAS). Both storage volumes and water releases are considered as decision variables of the problem and the performance of the corresponding models are compared. The efficiency and effectiveness of the MMAS for solving a benchmark example, the optimal operation of the "Dez" reservoir, are tested and compared with those of other heuristic algorithms and that of a mathematical programming based optimization package (Lingo). Comparing the results of MMAS with those of other ant colony algorithms and Lingo has shown that the proposed method is capable of producing superior results for the example considered.