基于改进型遗传算法的水质溯源问题
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X522

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水利部公益性行业科研专项(201501010)


Research on the water source identification based on an improved genetic algorithm
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    摘要:

    针对污染源排放位置、时间、排放总量的问题,以一维物质对流扩散方程和遗传算法理论为基础,构建污染物位置和排放时间的溯源模型。在传统遗传算法的基础上,按照适应度函数值的大小进行排序,引入“权重系数法”的概念,生成产生子代的新规则,优化种群质量,以控制种群进化方向。进一步基于解耦技术,建立了污染源排放总量的优化模型,推求污染源释放总量。试验结果表明,改进后的遗传算法能准确地追踪到污染源的排放位置和排放时间,与传统方法相比,其搜索效率更高,计算更加稳定。

    Abstract:

    In order to solve the tracing problem of pollutant source in the subject of water environment, a backtracking model was built in this study to discern the source location and the emission time, based on the convection-diffusion equation and the genetic algorithm. By further introducing the decoupling method, the mass quality was also obtained. A concept of ‘weigh coefficient’ was introduced to improve the traditional genetic algorithm for high computational efficiency by controlling the evolutionary trend of population and optimizing the quality of population. Compared with the traditional genetic algorithm, the improved one makes the backtracking model more efficient and stable.

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李敏慧,荆立,朱彦君,等.基于改进型遗传算法的水质溯源问题[J].河海大学学报(自然科学版),2018,46(5):402-407.(LI Minhui, JING Li, ZHU Yanjun, et al. Research on the water source identification based on an improved genetic algorithm[J]. Journal of Hohai University (Natural Sciences),2018,46(5):402-407.(in Chinese))

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  • 在线发布日期: 2018-09-21
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