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求解非线性方程组的量子行为粒子群算法 被引量:3
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作者 赵吉 须文波 孙俊 《计算机应用研究》 CSCD 北大核心 2007年第5期80-82,114,共4页
介绍了利用量子行为粒子群算法解决非线性方程组的问题。求方程组的解归结为一个最优化问题,当方程组有多个解时,它的适应值函数就是具有多个最优解的多峰函数。为此,引进一种物种形成原理算法,该算法根据群体微粒的相似度并行地分成子... 介绍了利用量子行为粒子群算法解决非线性方程组的问题。求方程组的解归结为一个最优化问题,当方程组有多个解时,它的适应值函数就是具有多个最优解的多峰函数。为此,引进一种物种形成原理算法,该算法根据群体微粒的相似度并行地分成子群体。每个子群体是围绕一个群体种子而建立的。对每个子群体进行QPSO最优搜索,从而保证方程组中每个可能的解都能被搜索到,具有良好的局部寻优特性。对几个重要的测试函数进行仿真实验,结果证明了所用算法可以保证找到方程组所有的解,并且具有很好的精确度。 展开更多
关键词 粒子群算法 量子行为粒子群算法 非线性方程组 物种形成原理
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一种求解非线性方程组的改进蚁群算法
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作者 范景行 《才智》 2013年第11期10-11,共2页
在本文中,根据非线性方程的特性,提出了一种求解非线性方程组的新型蚁群算法,并进行了大量实验,实验结果表明:本文算法可以保证找到方程组所有的解,并且具有很好的精确度。
关键词 蚁群算法 非线性方程组 物种形成原理 种子
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Speciation of the elements and compositions on the surfaces of dust storm particles:The evidence for the coupling of iron with sulfur in aerosol during the long-range transport 被引量:3
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作者 ZHANG Xingying1,2, ZHUANG Guoshun1,2,3, CHEN Jianmin2 & XUE Huaxin2 1. Center for Atmospheric Environment Study, Department of Chemistry, Beijing Normal University, Beijing 100875, China 2. Center for Atmospheric Chemistry Study, Department of Environ- mental Science and Engineering, Fudan University, Shanghai 200433, China 3. LAPC/NZC, Institute of Atmospheric Physics, NZC/LAPC, Chinese Academy of Sciences, Beijing 100029, China 《Chinese Science Bulletin》 SCIE EI CAS 2005年第8期738-744,共7页
The speciation of the elements on the surface of the particles collected during dust storm and non-dust storm in Beijing and Inner Mongolia was studied by XPS. The ma- jor species of iron on the surface were oxides, s... The speciation of the elements on the surface of the particles collected during dust storm and non-dust storm in Beijing and Inner Mongolia was studied by XPS. The ma- jor species of iron on the surface were oxides, sulfate, silicate, FeOOH and minor part sorbed on SiO2/Al2O3. Sulfate is the dominant species of sulfur on the surface. SiO2 and Al2O3 are the main components of Si and Al on the surface respectively. One of the most important findings was that the Fe(II) (FeS and FeSO4) produced could account for up to 44.3% and 45.6% of the total Fe on the surface in the aerosol sample collected at that night and next day of the “peak” time of the dust storm occurring on March 20, 2002, while Fe2(SO4)3, one of the Fe(III) species on the surface decreased from 67.1% to 49.5% and 48.0% respectively. Both S and Fe en- riched on the surface of aerosol particles. Fe(II) accounted for 1.3%?5.3% of total Fe in bulk aerosol samples during dust storm. These results provided strong evidence to sup- port the hypothesis of the coupling between iron and sulfur in aerosols during the long-range transport, which would have important impact on the global biogeochemical cycle. 展开更多
关键词 物种形成原理 XPS 大气悬浮物 Fe-S结合 粒子集合
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