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optimization相关的网络例句

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与 optimization 相关的网络例句 [注:此内容来源于网络,仅供参考]

Dynamic optimization is an important research subject in binary translation systems.

罗琼程,吴强湖南大学计算机与通信学院,长沙 410082

Keywords: dynamic binary translation;optimization technology;overlapped redundancy of basic block

该文从优化动态二进制翻译角度出发,检测、消除由基本块重叠冗余带来的开销。

Most of all, the coordination of activity, the management of dataflow, the dynamic binding of services, transaction and exception handling, the verification and optimization of workflow, and the monitor of workflow running consist of the main parts.

其中,主要包括活动的协调、数据流管理、服务的动态绑定、事务性与异常处理、流程的验证和优化以及流程运行的监测等方面的内容,针对这些问题,文章从工作流生命周期的角度出发,并结合具体相关的研究项目作出较为深入的分析,并指出了可行的解决方向。

This is especially important for early-stage drug development where strict timelines usually impede the laborious and hence time-consuming process of biocatalyst discovery and optimization.

特别是在药物合成的初级阶段很重要,通常严格的反应时间是阻碍实验进展的主要原因,因此酶催化反应中的问题是生物催化剂的发现和优化。

Genetic Algorithms is an adaptive intelligent algorithm about random global search and optimization based on the mechanism of "survival of the fittest" of biological evolutionary theory and population genetics principle.

遗传算法是基于生物进化论的"适者生存"机制和群体遗传学原理而开发出的一种随机全局搜索与优化的自适应智能算法。

Bionic optimization algorithms,simulating the structural characteristics,law of evolution,behavior patterns,and way of thinking of biological or biological population,are computing methods with self-organization,adaptive and self-learning abilities,as well as a good global convergence,parallelism,and robustness.

仿生优化算法是模拟生物或生物种群的结构特点、进化规律、行为模式和思维方法等形成的计算技术和方法,具有自组织、自适应和自我学习能力以及良好的全局收敛性、并行性和鲁棒性等特点。

Novel intelligent algorithms based on bionics become more and more popular for solving dynamic optimization problems in recent years.

集成策略的基本思想是把原问题分解为一系列的子问题,并采用合适的方法优化之。

The actuator placement optimization of piezothermoelectric biotic thermal robust structure is studied in this paper.

本文研究了热压电仿生热鲁棒结构中致动器配置的优化问题。

By using network flow theory, the optimization problem of power conservation is transformed into the optimal bipartition problem of a flow network which can be partitioned by the max-flow mm-cut algorithm.

利用网络流理论,将节约电量的最优化问题转化为一个流网络的最优分割问题,而后者可采用最大流最小切割算法实现最优切分。

By using network flow theory,the optimization problem of power conservation is transformed into the optimal bipartition problem of a flow network which can be partitioned by the max-flow min-cut algorithm.

利用网络流理论,将节约电量的最优化问题转化为一个流网络的最优分割问题,而后者可采用最大流最小切割算法实现最优切分。

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