然后，为了加快遗传算法的收敛速度减少算法执行时间引入模拟退火机制对上述算法进行优化。
Then the mechanism of Simulated Annealing is import in the algorithm above to decrease the execution time and quickens the velocity of convergence.
提出了数组链染色体编码方式，以及基于自适应性变异概率和模拟退火惩罚函数法的适应性遗传算法（AGA）。
This paper proposes the array chain chromosome coding and the Adaptive GA (AGA) that combines the self-adaptive mutation probability and simulation anneal punishment function.
提出了一种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。
A kind of software test data automated generation method based on simulated annealing genetic algorithms is proposed.
本文分析了近年来出现的一些优化算法，如模拟退火法、遗传算法和趋化性算法等的特点。
This paper analyzes a few optimization algorithms appeared in recent years as simulated annealing, heritage algorithm and chemotaxis algorithm.
搜索技术，诸如遗传算法，模拟退火算法，禁忌搜索和随机移动算法，已经广泛应用于全局优化。
Search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Random Walk Algorithms have been used extensively for global optimization.
针对模拟退火和遗传算法的参数和操作选取问题，通过将其描述为随机优化问题，提出了基于OCBA的解决方法。
Aimed at the problem of selecting suitable parameters and operators for SA and GA, an OCBA based approach is proposed by formulating the considered problem as a stochastic optimization problem.
结合土石坝的沉降规律，建立了土石坝沉降的遗传算法和遗传模拟退火算法模型。
Combining the settlement characteristics of earth-rockfill dam, the model of genetic algorithms and genetic simulated annealing algorithms is established.
简要地介绍了模拟退火算法，遗传算法，人工神经网络和图论算法在蛋白质结构预测中的应用。
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.
另一方面，通过将假设检验的统计思想融入智能优化算法，分别提出了基于假设检验的模拟退火和遗传算法。
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.
在计算力学模型相同的条件下，遗传—模拟退火算法的计算结果基本不会大于遗传算法的计算结果。
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.
为了解抉这个问题，介绍了一种将遗传算法与模拟退火算法相结合的混合遗传算法，并具体地利用这一优化算法设计了一种常用的二元光学元件——达曼光栅。
In order to solve this problem, a new method is provided based on the Hybrid Genetic Algorithms, and using a emulation program design a common binary optics elements-Dammann Grating.
为了解抉这个问题，介绍了一种将遗传算法与模拟退火算法相结合的混合遗传算法，并具体地利用这一优化算法设计了一种常用的二元光学元件——达曼光栅。
In order to solve this problem, a new method is provided based on the Hybrid Genetic Algorithms, and using a emulation program design a common binary optics elements-Dammann Grating.
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