• A kind of software test data automated generation method based on simulated annealing genetic algorithms is proposed.

    提出应用于软件测试中的基于模拟退火遗传算法的测试数据自动生成算法

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  • Hence, we combined the simulated annealing and genetic algorithms and the simulated annealing genetic algorithms was proposed.

    遗传算法模拟退火算法相结合提出了模拟退火遗传算法。

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  • In the aspect design coating system, a new idea to combine the general way and the simulated annealing genetic algorithms (SAGA) is brought forward.

    设计方面,本文提出了常规设计方法遗传退火方法相结合应用思路

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  • On the condition of sample calculation mechanical model, Genetic simulated Annealing Algorithms method's calculation results of all more superiority than the calculation results of Genetic Algorithms.

    计算力学模型相同条件下遗传模拟退火算法计算结果基本不会大于遗传算法的计算结果。

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  • The paper briefly introduces some modern optimum algorithms of simulated annealing, genetic algorithms, neural networks and graphic algorithms in and applied in prediction of protein structure.

    简要介绍模拟退火算法遗传算法,人工神经网络图论算法蛋白质结构预测中的应用

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  • Combining the settlement characteristics of earth-rockfill dam, the model of genetic algorithms and genetic simulated annealing algorithms is established.

    结合石坝沉降规律,建立了土石坝沉降遗传算法遗传模拟退火算法模型

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  • In addition, hypothesis-test based simulated annealing (SA) and genetic algorithms are proposed respectively by incorporating the statistical idea of hypothesis test into intelligent algorithms.

    另一方面,通过假设检验统计思想融入智能优化算法分别提出基于假设检验模拟退火遗传算法。

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  • It is more suitable than simulated annealing and genetic algorithms for solving the problem that presents many local minima. Experimental results show the method is efficient.

    算法遗传算法模拟退火算法适合于解决具有很多局部最小值的冗余传感器系统费用优化的问题,仿真实验结果表明算法很有效的。

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  • Introduced a number of algorithms to solve the problem of yard space allocation, such as simulated annealing, genetic algorithms, tabu algorithms.

    介绍一些用于解决堆场空间分配问题算法模拟退火遗传算法、禁忌算法等。

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  • The new global search algorithms result from the combination of the genetic algorithms and simulated annealing algorithms.

    提出一种将遗传算法模拟退火算法相结合搜索算法。

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  • A methodology of most dangerous sliding surface search and slope stability analysis is proposed by combining mixed genetic-simulated annealing algorithms with Sweden arc method.

    利用遗传模拟退火算法结合瑞典圆弧寻找危险进行边坡稳定分析

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  • Search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Random Walk Algorithms have been used extensively for global optimization.

    搜索技术诸如遗传算法模拟退火算法禁忌搜索随机移动算法,已经广泛应用于全局优化。

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  • Search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Random Walk Algorithms have been used extensively for global optimization.

    搜索技术诸如遗传算法模拟退火算法禁忌搜索随机移动算法,已经广泛应用于全局优化。

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