水利水电科技进展Issue(2)：16-23,41,9.DOI:10.3880/j.issn.1006-7647.2016.02.004
鸡群优化算法投影寻踪洪旱灾害评估模型
Projection pursuit model for evaluation of flood and drought disasters based on chicken swarm optimization algorithm
崔东文1
作者信息
- 1. 云南省文山州水务局，云南 文山 663000
- 折叠
摘要
Abstract
The chicken swarm optimization algorithm was validated using 15 complex functions, and the simulated results were compared with those of the Wolf algorithm, particle swarm optimization algorithm, fish swarm algorithm, and genetic algorithm. Using the chicken swarm optimization to search for the optimal projection direction of the projection pursuit model, a projection pursuit evaluation model was established. Using assessment of flood and drought disasters from 1990 to 2013 in Wenshan Prefecture as an example, five flood disaster evaluation indices, including disaster-affected population, and four drought disaster evaluation indices, including the disaster area of crops, were selected, and grading standards for flood and drought disaster assessment were constructed with the mean and standard deviation of the flood and drought disaster projection series. The results show that the chicken swarm optimization algorithm is robust and has high global optimization ability. Using the algorithm to select the optimal projection direction of the projection pursuit model can effectively improve the evaluation accuracy and prevent a high degree of variation from occurring in the optimal projection direction.关键词
洪旱灾害评估/投影寻踪/鸡群优化算法/算法验证/文山州Key words
flood and drought disaster assessment/projection pursuit/chicken swarm optimization algorithm/algorithm verification/Wenshan Prefecture分类
天文与地球科学引用本文复制引用
崔东文..鸡群优化算法投影寻踪洪旱灾害评估模型[J].水利水电科技进展,2016,(2):16-23,41,9.
