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Chinese translation for "deterministic optimization"

确定性最优化

Related Translations:
deterministic:  定数性决定论的, 命运注定论的决定性的可定的明确的确定性的宿命的有定的
deterministic system:  确定系统确定性系统
deterministic coefficient:  确定性系数
deterministic diagram:  确定性状态图
deterministic trend:  确定性趋势
deterministic automation:  决定性自动机确定性自动化确定性自动机
deterministic schedule:  确定性调度确定性计划确定性排程
deterministic modeling:  确定性模型化
deterministic approach:  确定轨道模型
deterministic distribution:  确定性分布
Example Sentences:
1.Because of the multimodal of the solution of the inverse problem , traditional deterministic optimization algorithm is often useless to solve this kind of problems
由于逆问题的解具有多峰值性,传统的确定类优化算法很难实现逆问题的求解。
2.Students lead most of the class sessions in 15 . 099 , using the conference - quality presentations they have created . course readings revolve around this term ' s topic , randomized methods for deterministic optimization
在15 . 099课程中,大部分的课时由学生来领导,使用学生自己做的达到学术会议标准的陈述报告。课程阅读围绕这学期的主题:确定性最佳化的随机方法。
3.In keeping with the tradition of the last twenty - some years , the readings in optimization seminar will focus on an advanced topic of interest to a portion of the mit optimization community : randomized methods for deterministic optimization
与过去20多年的传统一致,最佳化书报讨论课程的重点将放在麻省理工学院一部分最佳化团体感兴趣的一个高级主题上:确定性最佳化的随机方法。
4.Pseudo excitation method ( pem ) is used , thus one random process excitation can be transformed into a deterministic transient excitation , so the joint - random problem is turned into a single - random problem accurately , it can be solved easily by means of perturbation method and sequence orthogonal decomposition theory respectively . the probabilistic approach is used to transform stochastic optimization into deterministic optimization , therefore the optimization can be achieved through multiple objective decision making theory
以虚拟激励法为基础,将随机过程激励转化为确定性动力激励,从而将复合随机问题精确地转化为仅结构参数具有随机性的问题,分别利用摄动理论和次序正交分解理论推导了确定性动力激励下随机结构响应特征,采用概率方法将随机优化问题转化为确定性优化问题,从而可以通过多目标决策理论进行结构优化设计。
5.The main contributions of this dissertation are as follows : ( 1 ) a eugenic evolution strategy was proposed to improve the efficiency of the conventional simple genetic algorithm ( sga ) searching . the eugenic evolution genetic algorithm ( ega ) collects the population information along the evolution of children generations and constructs a deterministic optimization algorithm , which will be embedded in the evolution process at appropriate stage to speed up the local searching
由于优化方法在建模中有相当重要的作用,因此,接着对具有全局寻优性能的遗传算法进行了较为深入的研究,提出了基于优生演进策略的遗传算法( ega ) ,使寻优性能有较大的提高,并成功应用于化工领域中重油热解模型参数的估计。
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