将遗传算法与模拟退火算法相结合，提出了模拟退火遗传算法。
Hence, we combined the simulated annealing and genetic algorithms and the simulated annealing genetic algorithms was proposed.
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.
通过引入退火遗传算法很好地解决了滑坡临界折线滑动面搜索问题，为边坡的滑动面搜索提供一个新的解决方法，克服了常规方法的种种弊端。
Through introduction SAGA very good solution landslide most dangerous sliding surface search question, for slope of the sliding surface search provides a new solution method, has overcome con.
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.
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.
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.
介绍了一些用于解决堆场空间分配问题的算法，如模拟退火、遗传算法、禁忌算法等。
Introduced a number of algorithms to solve the problem of yard space allocation, such as simulated annealing, genetic algorithms, tabu algorithms.
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.
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.
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