• So the simulated annealing algorithm is introduced to solving the material balance equation.

    因此,本文引入模拟退火算法求解物质平衡方程。

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  • 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。

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  • The subproblem is solved by simulated annealing algorithm.

    该子问题可通过模拟退火算法来解决。

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  • Chaos optimization algorithm, which combines chaos carrier wave with simulated annealing algorithm improves system optimization speed.

    混沌优化算法将混沌载波和模拟退火策略结合加快了寻优速度。

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  • 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。

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  • The paper puts forward a new modified simulated annealing algorithm, which is used for mobile robot path planning.

    提出了一种新型改进模拟退火算法,对移动机器人路径进行了全局优化。

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  • 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。

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  • 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。

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  • Therefore, based on simulated annealing algorithm, an improved method of game learning was given and a game learning model about oligarch holding the market was established.

    基于模拟退火算法,给出了博弈学习的一个改进方法,建立了寡头垄断市场的博弈学习模型。

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  • In this paper, a new approach, which is based on simulated annealing algorithm for solving a class of diffusion equation of parameter operator identification of inverse problem, is presented.

    文章给出了利用模拟退火算法求解一类扩散方程的参数算子识别反问题的一种新方法。

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  • This paper presents an optimization algorithm based on chaotic simulated annealing algorithm, which is used to estimate the parameter of Nonlinear Muskingum model.

    提出了用混沌模拟退火法估计非线性马斯京根模型参数的优化算法。

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  • Improving BP neural network with simulated annealing algorithm can overcome the defect of falling into local optimal point easily, and further improve the network performance.

    用模拟退火算法改进BP神经网络,克服了BP神经网络极易陷入局部最优点的缺点,进一步提高了网络的性能。

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  • The method and steps of identifying parameters by the simulated annealing algorithm are given. An actual example is calculated for verification.

    给出利用模拟退火算法进行参数辨识的方法和步骤,并结合实例进行求解和验证。

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  • Aiming at the error between original design and large scale and complex rough casting, a gradient (simulated) annealing algorithm for the best fitting method is presented.

    针对大型复杂铸件毛坯与设计原形存在误差,提出了梯度—模拟退火算法来对铸件毛坯进行适配。

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  • The operation order of the container to be loaded or unloaded has been optimized and arranged through the simulated annealing algorithm.

    运用模拟退火算法优化了集装箱装卸指令次序;

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  • 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。

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  • 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。

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  • This paper presents a new hybrid simulated annealing algorithm for three dimensional container loading problem.

    本文提出了一种新的求解三维装箱问题的混合模拟退火演化算法。

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  • Simulation results show that the improved method has better quality, robustness and speed of convergence comparing with simulated annealing algorithm based on uniform distribution random perturbation.

    通过计算机仿真,验证了该算法对初值的鲁棒性和复原的效果优于基于均匀分布随机扰动量模拟退火盲解卷积算法,提高了收敛到最优解的速度。

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  • By making use of simulated annealing algorithm with memory, and determining a set of effective cooling schedule, the thesis solves this complex and special knapsack problem successfully.

    本文应用带记忆功能的模拟退火演算法,结合理论分析和经验法则,通过大量试验确定了一组有效的冷却进度表参数,成功地解决了这个复杂而特殊的背包问题。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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