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一种结合混沌搜索的改进云自适应遗传算法 被引量:1
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作者 岳茹 《长春师范大学学报》 2023年第2期60-64,共5页
针对传统云自适应遗传算法由于初始种群质量不高、局部搜索能力较差、交叉和变异概率的云模型控制参数为固定值而造成的早熟和收敛速度较慢的问题,提出一种结合混沌搜索的改进云自适应遗传算法(CAGACS)。利用混沌模型生成初始种群,提高... 针对传统云自适应遗传算法由于初始种群质量不高、局部搜索能力较差、交叉和变异概率的云模型控制参数为固定值而造成的早熟和收敛速度较慢的问题,提出一种结合混沌搜索的改进云自适应遗传算法(CAGACS)。利用混沌模型生成初始种群,提高初始种群多样性;在进化过程中对最优个体进行混沌扰动,加强算法局部搜索能力;设计了随进化代数和种群规模变化的云模型控制参数,增强交叉和变异概率的自适应变化,克服早熟和收敛过慢的缺陷。实例仿真结果表明,CAGACS算法既保持了云自适应遗传算法的稳定倾向性和随机性,又进一步加强了算法的寻优能力。 展开更多
关键词 模型 自适应遗传算法 混沌搜索 云模型参数
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Application of homotopy parameter inversion method in Miyun Reservoir
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作者 LI Xin LI Yong CHEN Duowei 《Global Geology》 2009年第2期109-111,共3页
The large-scale convergence of homotopy parametric inversion method on the water quality model parameters calculated was used,with application in parametric inversion calculation of total phosphorus of Beijing Miyun R... The large-scale convergence of homotopy parametric inversion method on the water quality model parameters calculated was used,with application in parametric inversion calculation of total phosphorus of Beijing Miyun Reservoir.Through calculated and compared the error of sedimentation rate by homotopy parametric inversion method and genetic inversion calculation method,the results indicate that homotopy parametric inversion method has good stability,calculating speed,and even if the initial selection away from the objective function,the solution still has a good convergence. 展开更多
关键词 Water quality model REVERSION extensiveness convergence HOMOTOPY genetic inversion method objective function
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Development of a toy column model and its application in testing cumulus convection parameterizations 被引量:3
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作者 Xiaocong Wang 《Science Bulletin》 SCIE EI CAS CSCD 2015年第15期1359-1365,共7页
A single-column model is constructed based on parameterizations inherited from the Finite-volume/Spectral Atmospheric Model F/SAMIL and tested in simulations of tropical convective systems. Two representative convecti... A single-column model is constructed based on parameterizations inherited from the Finite-volume/Spectral Atmospheric Model F/SAMIL and tested in simulations of tropical convective systems. Two representative convection schemes are compared in terms of their performances on precipitation types, individual physical tendencies, and temperature and moisture fields. The main difference between the two selected schemes is in their representation of entraining/detraining process. The Tiedtke scheme assumes bulk entrainment, while the Zhang–Mc Farlane scheme parameterizes entrainment/detrainment rates under the spectrum concept. Large-scale forcing and verification data are taken from the GATE phase III field campaign, during which abundant convective events were observed. Given the same triggering function and closure assumption, results show that entrainment/detrainment representation remains the dominant factor on the simulation of cumulus mass flux and of temperature and moisture fields. By analyzing sources and sinks of heat and moisture, this study reveals how parameterization components compensate for each other and make model results insensitive to parameterization changes in certain fields, thus suggesting the need to treat parameterizations as systems rather than individual components. 展开更多
关键词 Single-column model (SCM) TCM GATE Cumulus convection F/SAMIL
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