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| 基于生态调度的滦河流域多目标优化配置 | |
| 引用本文： | 李涛涛,董增川,王南. 基于生态调度的滦河流域多目标优化配置[J]. 水电能源科学, 2012, 30(7): 58-61 |
| 作者姓名： | 李涛涛 董增川 王南 |
| 作者单位： | 1. 天津市水利勘测设计院,天津,300204 2. 河海大学水文水资源学院,江苏南京,210098 |
| 基金项目： | 水利部公益性行业科研专项基金资助项目（2008502712） |
| 摘 要： | 针对滦河流域的水资源配置问题,建立了滦河流域多目标优化配置模型,运用粒子群算法求解该优化模型中非劣解集,并用支持向量机对非劣解进行评价。计算结果表明,随着水平年的增长,流域内各分区供水量增加,缺水量基本不变,缺水比例减小;95%频率下缺水量的增加较75%频率下要快。 |
| 关 键 词： | 水资源 优化配置 粒子群算法 多目标决策 支持向量机 |
Multi-objective Optimal Allocation of Luan River Basin Based on Ecological Scheduling |
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| LI Taotao,DONG Zengchuan and WANG Nan. Multi-objective Optimal Allocation of Luan River Basin Based on Ecological Scheduling[J]. International Journal Hydroelectric Energy, 2012, 30(7): 58-61 | |
| Authors: | LI Taotao DONG Zengchuan WANG Nan |
| Affiliation: | Tianjin Municipal Water-conservancy Survey and Design Institute, Tianjin 300204, China |
| Abstract: | Aiming at the water resources allocation problem of Luan River basin, multi-objective optimal allocation model is established. And particle swarm algorithm is used to solve the non-inferior solution of the model. Then non-inferior solution is evaluated with support vector machine. The results show that with the growth of level years, water supply in each zone increases and water deficit is basically unchanged while the proportion of water-deficient reduces; the increasing speed of water deficit in 95% frequency is faster than that of the 75% frequency. |
| Keywords: | water resources optimal allocation particle swarm optimization multi-objective decision support vector machine |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |