期刊名称：Revista Internacional de Contaminación Ambiental
印刷版ISSN：0188-4999
出版年度：2019
卷号：35
期号：3
页码：123-131
DOI：10.20937/RICA.2019.35.esp01.12
出版社：Centro de Ciencias de la Atmósfera
摘要：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 original cuckoo search with the search mechanism of Lévy flight for a random walk has the defect of instability of the solution and trapping in local optimal solution. The paper applies cuckoo search to the optimal power generation of cascade reservoir by hybridizing it with new neighbour sequence algorithm global search and variable neighbourhood descent local search for enhancing the quality of the obtained solution combining of the characteristics of the optimal power generation of cascade reservoir. An example in the paper reveals that the results of the hybrid algorithm is rational and reliable when it is used to solve the problem of optimal operation of cascade reservoirs. The improved Cuckoo Search has been proved to be more efficient in optimization in terms of search efficiency and stability of the optimal results, whereby a new way for searching the solution to the optimal operation of cascade reservoirs with high dimension and complexity is provided.
