A multi-objective optimal operation model of hydropower plant-reservoir-pumping station group is established considering three objectives: maximizing transferred water, maximizing hydropower generation and minimizing energy consumption. Based on the parameter adjustment strategy, the neighborhood variation and acceleration strategy, a new integrated and improved Cuckoo algorithm is proposed to solve the multi-objective optimization scheduling model, obtaining a multi-objective PARETO solution sets of power generation, water transfer and energy consumption of pumping stations. Taking the large and complex inter-basin water diversion project from Hanjiang to Weihe River as the research object, compared with the simulation scheduling model and NSGA-Ⅱ algorithm multi-objective optimization scheduling model, the optimal dispatching model has reasonable indexes such as power generation, water transfer, energy consumption, waste water and so on, having a comparative advantage.