In machine learning applications, Hadoop has been used as a way to scale genetic algorithms for processing large populations of GA individuals (potential solutions).
在计算机学习用户程序中，Hadoop已经作为处理大量GA个体的规模遗传算法的一种方法(潜在解决方案)。
During ga research experiment a marine biologist placed a shark into a large holding tank and then released several small bait fish into the tank.
在一个研究实验中，一个海洋生物学家把一条鲨鱼放进一个大的水箱中，然后投放了一些小的诱饵鱼进去。 。
Results of example show that the value of objective function decreases by 5.2%, indicating good validity of GA for large crude oil carrier structure optimization.
算例结果重量减轻了5.2%，表明该遗传算法在大型油船中剖面的结构优化方面是行之有效的。
With the emerge of complex large scale nonlinear system, GA has been used increasingly in recent years and now GA can be found in many fields.
近年来随着工程领域中复杂的大规模非线性系统的出现，遗传算法日益得到青睐，目前已经广泛应用到各个领域中。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
The practice proved that GA is an optimized method of the modern. It is appropriate to be used in large-scale and complex discrete space GlobalOptimization.
实践证明，遗传算法作为现代最优化的手段，它应用于大规模、复杂空间领域离散值情况下的全局最优化问题是合适的。
GA easily traps in permutation for (NP-hard) problem such as TSP, especially when the city scale is large.
在解决像旅行商这类组合优化中的NP完全问题，是极易陷入早熟收敛，城市规模越大越难求得最优解。
The GA(Genetic Algorithms) is a very effective method to deal with large scale and complex problems.
遗传算法是一种有效的解决复杂问题的方法。
The GA(Genetic Algorithms) is a very effective method to deal with large scale and complex problems.
遗传算法是一种有效的解决复杂问题的方法。
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