摘要
Abstract
In order to study the effectiveness and feasibility of the gravitational search algorithm ( GSA)- Projection Pursuit ( PP) model applying to evaluate the carrying capacity of water resources, the re-gional water resources carrying capacity evaluation index system and classification standards were con-structed by selecting 14 indicators from the water system, economic and social system, and water environ-mental system, the best projection direction was optimized using GSA algorithm, and the GSA-PP eval-uation model for water resources carrying capacity was also proposed, then the PP models established by particle swarm optimization (PSO) algorithm, differential evolution (DE) algorithm and cuckoo search ( CS) algorithm optimization were respectively compared with the GSA-PP model, finally the water re-sources carrying capacity in 8 Wenshan counties was evaluated as case studies. The results showed that the fitness value of 10 consecutive optimizations by GSA algorithm is 1147 . 9363 , they were all better than algorithms of PSO, DE and HS, it has higher solution accuracy and stable performance. The evalua-tion results of GSA-PP model in Malipo County, Maguan County and Wenshan city were“may carrying capacity”, the evaluation results of the remaining five counties as“basically may carrying capacity”. The evaluated and sorted results of GSA-PP were similar to the DE-PP model;and the evaluation results of GSA-PP were also same as PSO-PP and CS-PP model, but there were differences in the sorted re-sults. Therefore, the solution accuracy of the intelligent algorithm determines the pros and cons of evalua-tion effects.关键词
水资源承载力/指标体系/投影寻踪/引力搜索算法/文山州Key words
water resources carrying capacity/index system/projection pursuit/gravitational search algo-rithm/Wenshan分类
建筑与水利
