Method and system for conditioning of numerical algorithms for solving optimization problems within a genetic framework
    1.
    发明授权
    Method and system for conditioning of numerical algorithms for solving optimization problems within a genetic framework 失效
    用于解决遗传框架内优化问题的数值算法的方法和系统

    公开(公告)号:US07328194B2

    公开(公告)日:2008-02-05

    申请号:US11145151

    申请日:2005-06-03

    IPC分类号: G06N5/00

    CPC分类号: G06N3/126

    摘要: A system for conditioning algorithms to achieve optimum execution time is disclosed. The system defines a computer programmable framework that can be used to efficiently find a global optimization vector. The system provides a precise execution sequencing of operations in order to achieve a speedy conclusion and a genetic receipt for finding the optimal number of siblings (cluster nodes) for the algorithm. The system defines the genetic function for generating an initial population of solution vectors, a condition number for optimal searching of a single vector, a best fit off-springs selection method, and a diversification function.

    摘要翻译: 公开了一种用于调节算法以实现最佳执行时间的系统。 该系统定义了可用于有效查找全局优化向量的计算机可编程框架。 该系统提供操作的精确执行排序,以便快速得出结论和遗传接收,用于找到算法的兄弟姐妹(群集节点)的最佳数量。 系统定义了用于生成解向量初始群体的遗传函数,用于单个向量的最优搜索的条件数,最佳拟合偏移选择方法和多样化函数。

    Method and system for conditioning of numerical algorithms for solving optimization problems within a genetic framework
    2.
    发明申请
    Method and system for conditioning of numerical algorithms for solving optimization problems within a genetic framework 失效
    用于解决遗传框架内的优化问题的数值算法的方法和系统

    公开(公告)号:US20070005521A1

    公开(公告)日:2007-01-04

    申请号:US11145151

    申请日:2005-06-03

    IPC分类号: G06N3/12

    CPC分类号: G06N3/126

    摘要: A system for conditioning algorithms to achieve optimum execution time is disclosed. The system defines a computer programmable framework that can be used to efficiently find a global optimization vector. The system provides a precise execution sequencing of operations in order to achieve a speedy conclusion and a genetic receipt for finding the optimal number of siblings (cluster nodes) for the algorithm. The system defines the genetic function for generating an initial population of solution vectors, a condition number for optimal searching of a single vector, a best fit off-springs selection method, and a diversification function.

    摘要翻译: 公开了一种用于调节算法以实现最佳执行时间的系统。 该系统定义了可用于有效查找全局优化向量的计算机可编程框架。 该系统提供操作的精确执行排序,以便快速得出结论和遗传接收,用于找到算法的兄弟姐妹(群集节点)的最佳数量。 系统定义了用于生成解向量初始群体的遗传函数,用于单个向量的最优搜索的条件数,最佳拟合偏移选择方法和多样化函数。