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Cuckoo algorithm based on random walk of Levy flight search mechanism leads to instability of solutions and a tendency to get trapped in local optimal solution. Based on the characteristics of the optimal operation of cascade reservoir power generation, the paper proposes an improved cuckoo algorithm that features a new neighbour sequence algorithm for global search and a variable neighbourhood descent algorithm for local search, and applies the improved cuckoo algorithm to optimizing the operation of cascade reservoir power generation. Through case study, the paper proves the reasonability and reliability of the hybrid algorithm, and that the improved cuckoo algorithm provides more efficient and stable solutions, representing a new exploration about the optimal scheduling model for high-dimensional and complex cascade reservoirs power generation and operation.

THE APPLICATION OF IMPROVED CUCKOO SEARCH IN CASCADE RESERVOIR POWER GENERATION OPTIMIZED OPERATION