英汉例句

• genetic simulated annealing algorithm coupled with niche is applied to search rock slopes critical slip surface in this study.

  将小生境思想与遗传模拟退火算法相结合，应用于巖质边坡滑动面的搜索中。

• to solve the problems of transmission scheme optimization for complex mechanical products, a new ant algorithm combined the simulated annealing algorithm was put forward.

  针对复杂机械产品传动方案的优化设计问题，提出了一种融合模拟退火算法的新型蚂蚁算法。

• the system uses the simulated annealing algorithm and the polygon algorithm in parallel condition to optimization design for arch dam.

  采用并行环境下的模拟退火算法和复形法对拱坝进行体形优化设计。

• a method of image restoration based on pso and simulated annealing algorithm is proposed.

  提出了基于微粒群和模拟退火算法的图像复原算法。

• it uses sweep algorithm to obtain the initial solution, and then uses simulated annealing algorithm to improve the initial solution.

  该算法首先利用扫描算法求得初始解，然后利用模拟退火算法对初始解进行改进。

• based on the characteristics of the problem, simulated annealing algorithm was combined with tabu search algorithm to optimize the frequency of brt line combination.

  根据问题的特点，将禁忌算法与模拟退火算法相结合，对brt线路组合的频率进行优化。

• on the base of analysis mentioned above, simulated annealing algorithm is used to optimize the codes.

  在上述分析的基础上，通过模拟退火算法优化对编码进行组合优化。

• the paper proposes a simulated annealing algorithm for the problem of genome rearrangements of the unsigned permutation by reversals, and define the neighborhood structure of its solution.

  本文给出一种适合于计算基因无方向的反转基因组重排问题的模拟退火算法，定义了解的邻域结构。

• a continuous simulated annealing algorithm with global convergence ability is applied to solve this controller parameters optimization design problem.

  采用一类全局收敛的连续模拟退火算法完成了控制器参数的优化设计。

• chapter three discusses the application of simulated annealing algorithm in mechanical product layout design.

  第三章论述了模拟退火算法在产品布局设计中的应用。

• this paper studies the simulated annealing algorithm for topology optimization of truss.

  研究了平面桁架结构拓扑优化设计的模拟退火算法。

• aiming at deficiency in solving non-linear multi-extremum optimization problems using present optimal theory, the parallel recombination simulated annealing algorithm (prsaa) is proposed.

  针对目前优化方法求解非线性多极值优化问题时存在的不足，提出了并行组合模拟退火算法。

• a simulated annealing algorithm for smartly structuring a neighbourhood system of the merge path and optimizing merge path assignment is used to solve the core problem of od assignment.

  通过巧妙地构造合并径路邻域系，设计优化合并径路分配方案的模拟退火算法，解决铁路od分配的核心问题。

• by comparison with traditional ga, simulated annealing algorithm and complex method on typical testing problems, the lga has shown very good global results in terms of high precision and efficiency.

  通过典型测试函数与传统遗传算法，模拟退火算法，复合形法进行比较验算，表明该算法具有优良的求解质量和较好的求解效率；

• to the partition problem, the particular neighbourhood structure is constructed. a simulated annealing algorithm with the neighbourhood structure is devised.

  针对划分问题，构建了一种特殊的邻域结构，并设计出基于此邻域结构的模拟退火算法。

• the effects of structural dip are also accounted in the constraint conditions. wave impedance is calculated using simulated annealing algorithm on seismic data under constraints of geological rules.

  在约束条件中加入构造倾角的影响，借助于模拟退火算法，在地质规律的约束下利用地震资料求取地层波阻抗。

• the programming of genetic simulated annealing algorithm (gsaa) based on partial least squares (pls) and the method to build dam safe monitoring model utilizing the program are presented.

  介绍了基于偏最小二乘法的遗传模拟退火算法的编程方法和利用其建立大坝安全监控模型的方法。

• through study and experiment, a hybrid algorithm was offered that combined genetic algorithm and simulated annealing algorithm to solve the problem of materialized view selection.

  通过研究和实验，提出了一种结合遗传算法和模拟退火算法的混合算法，用于解决物化视图的选择。

• a new simulated annealing algorithm to solve packing problems is introduced. temper strategy is adopted based on traditional simulated annealing algorithm so as to improve result optimization.

  在传统模拟退火算法的基础上，对布局问题的优化算法进行了研究，采用回火策略，改进一般模拟退火算法寻优的效果；

• this paper presents an improved fast simulated annealing algorithm based on the analysis on deterministic method and simulated annealing algorithm for solving global optimization problems.

  基于对求解全局优化问题的确定性方法和模拟退火算法的分析，文中提出了一种改进的快速模拟退火算法。

• the simulation results indicates that genetic-simulated annealing algorithm is obviously superior to genetic algorithm and simulated annealing algorithm used separately.

  仿真结果表明，遗传模拟退火算法明显地优于独立地使用遗传算法和模拟退火算法。