| The thesis's research work is based on the project named Advanced Application Software on the internal economic operation of hydro-power plant. Encircling the problem, we summarize the general algorithms and probe into the typical optimization problem. Supported by advanced application software and according to the fact of the project, three algorithms, the principle of equal increment derivative, dynamic programming and genetic algorithm, are discussed and studied deeply. The theory combines the actual project. We have done certain improvement to the dynamic programming used in the project. According to the needs of development of the project, we have done further research to the genetic algorithm and put forward the improved genetic algorithm. The content of this dissertation are listed as follow:The principle and methods of the optimization problem are introduced systematically. The task, content and the optimized criterion are explained in detail. We have made the mathematics model of the internal economic operation of hydro-power plant and introduce kinds of the methods for the problem.Directed against the advanced application software, we have compared the above-mentioned methods. We have got the conclusion that the dynamic programming is the relatively suitable method in the project.We have narrated the dynamic programming method improvement and design in the actual project in detail: applying "normalization" to the predigestion and regulations of the flow characteristic curve, using "penalty factor" for avoiding running in the unstable area, putting forward "multi-table search" for the optimum load distributes table, applying "forecasting water head" to avoid the calamity of dimension, using water flux replacing the running time's limitation.For better performance of the software, we have studied genetic algorithm further. Based on the TSGA and AGA, we put forward the Pseudo Parallel Genetic Algorithm.
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