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基于萤火虫算法的投影寻踪地下水水质评价方法 被引量:28

Projection pursuit model for assessment of groundwater quality based on firefly algorithm
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摘要 针对水质评价中指标多样性的特点,提出了基于萤火虫算法的投影寻踪(PP)地下水水质评价方法,用于解决水质评价中的模糊性和指标的不相容性等问题.该方法根据地下水环境等级划分标准,构建了能够反映地下水水质状况的投影指标函数,引入萤火虫算法(FA)优化投影指标函数,寻求投影指标函数的最佳投影方向,求得最佳投影方向值,实现了地下水水质评价.以北京市朝阳区地下水为研究对象,运用该方法进行水质综合评价,并与综合评分法(F值法)、单因子评价法和基于实码加速遗传算法的投影寻踪模型(RAGA-PP)得到的结果进行对比.实例应用表明,该方法合理可行,可用于地下水水质评价. In order to solve fuzziness of the water quality evaluation and incompatibility of water quality index, an assessment method of groundwater quality was proposed based on the projec- tion pursuit method with the firefly algorithm (FA) for the diversity of water quality evalua- tion index. Based on the classification standard of groundwater environment, the projection in- dex function which could reflect the water quality of groundwater was established, and the fire- fly algorithm was adopted to optimize the projection index function for obtaining the best pro- jection direction of projection index function and calculating the value of best projection direc- tion, thus the groundwater could be assessed comprehensively. The groundwater of Chao Yang District in Beijing as the research object was comprehensively evaluated with this method. The evaluation results of the assessment method was compared with ones of the comprehensive sco- ring method (F method), the single factor evaluation method and the projection pursuit method with the real coded accelerating genetic algorithm (RAGA-PP). The results of application ex-ample approved that the assessment method is reasonable and feasible, and can be available for assessment of groundwater quality.
出处 《中国矿业大学学报》 EI CAS CSCD 北大核心 2015年第3期566-572,共7页 Journal of China University of Mining & Technology
基金 国家科技支撑计划项目(2011BAC12B00) 北京市教委科研基地项目(004000546612008)
关键词 萤火虫算法 投影寻踪 地下水水质评价 firefly algorithm projection pursuit assessment of groundwater quality
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