Context English Chinese (Simplified)
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Options 选项
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<bookmark_value>Solver for Nonlinear Problems;Options</bookmark_value> <bookmark_value>非线性问题求解器;选项</bookmark_value>
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General Options 常规选项
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Size of Swarm 群规模
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… defines the number of individuals to participate in the learning process. Each individual finds its own solutions and contributes to the overall knowledge. … 定义了参加学习过程的个体数目。各个体找到自己的解并贡献给总体智慧。
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Learning Cycles 学习周期
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… defines the number of iterations, the algorithm should take. In each iteration, all individuals make a guess on the best solution and share their knowledge. … 定义了算法的迭代次数。每次迭代过程中,所有个体猜想最佳解并共享智慧。
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Variable Bounds Guessing 变量猜测界限
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If enabled (default), the algorithm tries to find variable bounds by looking at the starting values. 若启用 (默认),算法将尝试通过起始值找到变量界限。
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Variable Bounds Threshold 变量界限阈值
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When guessing variable bounds, this threshold specifies, how the initial values are shifted to build the bounds. For an example how these values are calculated, please refer to the Manual in the Wiki. 猜测可变界限时,此阈值指定初始数值如何变换,以构建边界。关于这些数值如何计算等信息,请参考 wiki 中的手册。
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Use ACR Comparator 使用 ACR 比较器
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If <emph>disabled</emph> (default), the BCH Comparator is used. It compares two individuals by first looking at their constraint violations and only if those are equal, it measures their current solution. 若「<emph>禁用</emph>」(默认),则将使用 BCH 比较器。它将首先通过约束冲突比较个体,仅当相等时才测定其当前解。
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If <emph>enabled</emph>, the ACR Comparator is used. It compares two individuals dependent on the current iteration and measures their goodness with knowledge about the libraries worst known solutions (in regard to their constraint violations). 若「<emph>启用</emph>」,则将使用 ACR 比较器。它将根据当前迭代次数以及测量最差解库 (就其约束冲突) 知识掌握程度比较两个个体。
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Use Random Starting Point 使用随机起始点
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If <emph>enabled</emph>, the library is simply filled up with randomly chosen points. 若「<emph>启用</emph>」,将以随机选中的点简单填充库。
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If <emph>disabled</emph>, the currently present values (as given by the user) are inserted in the library as reference point. 若「<emph>禁用</emph>」,当前显示值 (用户指定) 将插入库作为参照点。
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Stagnation Limit 阻塞限制
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If this number of individuals found solutions within a close range, the iteration is stopped and the best of these values is chosen as optimal. 若此数量的个体在紧密区域找到解,迭代将终止,并选择其中最佳值作为最优解。
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Stagnation Tolerance 阻塞偏差