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    • 3. 发明申请
    • Hybrid method for simulation optimization
    • 混合方法进行模拟优化
    • US20080312885A1
    • 2008-12-18
    • US11811820
    • 2007-06-12
    • Tianjiao ChuVictor M. SheftelJeffrey K. BennettDavid A. Evans
    • Tianjiao ChuVictor M. SheftelJeffrey K. BennettDavid A. Evans
    • G06F17/10
    • G06F17/11
    • A computer-implemented method of solving a system optimization problem having a plurality of parameters of unknown value is comprised of randomly generating sets of values for unknown parameters within an the optimization problem. A population of original candidate solutions is generated by applying an algorithm for deterministic optimization to each of the sets of values. The population of solutions is ranked. Additional candidate solutions are iteratively generated from at least certain of the solutions in the population. The validity of the additional candidate solutions is checked, and the valid additional candidate solutions are added to the population of solutions. The population of solutions is re-ranked and at least one solution from the population of solutions is output when a predetermined criterion is met whereby the values for the parameters in the output solution may be used for controlling a system.
    • 解决具有未知值的多个参数的系统优化问题的计算机实现的方法包括在优化问题内随机生成未知参数的值集合。 通过对每个值集合应用用于确定性优化的算法来生成原始候选解决方案的群体。 解决方案人数排名。 从群体中的至少某些解决方案迭代生成其他候选解决方案。 检查附加候选解决方案的有效性,并将有效的附加候选解决方案添加到解决方案群体中。 解决方案的群体被重新排序,并且当满足预定标准时输出来自解决方案群体的至少一个解决方案,由此输出解决方案中的参数的值可以用于控制系统。