同时也给了我们信心去确定不同遗传变量与端粒长度关系的路径。
It gave us great confidence that we identified genetic variants on a pathway we already know is associated with telomere length.
为了更好的理解影响长寿的遗传因素，研究人员分析了年龄在95至119岁之间的800多个研究对象的DNA，并将其与随机控制变量的DNA进行比较。
To better understand the genetic components of longevity, the researchers analyzed the DNA of more than 800 subjects between the ages of 95 to 119 and compared it with DNA from random controls.
用模糊动态罚函数遗传算法对钢筋混凝土梁进行了离散变量优化设计。
Fuzzy dynamic penalty function GAs is used to optimize a reinforced concrete beam with discrete variable.
所以，本论文最后采用了遗传算法对输入输出语言变量的隶属函数进行优化以改善模糊控制器的性能。
So, at last, Genetic Algorithms are capitalized on to optimize the membership functions of the input and output linguistic variables of the fuzzy controller so as to better its performance.
通过将需寻优的变量放在内外两个层次进行遗传搜索，可避免无理解的产生，使搜索空间大大缩小，提高了搜索效率。
Searching variables in two level hierarchy, it is possible to avoid the appearance of unfeasible results. So the search space is greatly reduced and efficiency is improved.
结果表明：遗传算法可适用于多设计变量、多设计目标的柴油机喷油系统参数优化设计。
The process of the parameter optimization design based on GA was introduced and briefly discussed in many of its respects.
将基于格雷码的遗传算法用于求解结构的混合离散变量非线性约束优化问题。
The genetic algorithms, which is based on Gray code, is applied to structure design optimization with mixed discrete variables and nonlinear constraint.
然后结合隶属度变量构建优化模型，利用具有动态惩罚函数的遗传算法求解，计算得到各方案的所属类别。
Then optimization model with the membership degree is constructed. It is solved by using genetic algorithms with dynamical castigatory function.
提出一种离散变量结构优化设计的斐波那契算法，并与遗传算法结合在一起解决问题。
Moreover, a Fibonacci algorithm (FA) for structural optimization with discrete variables was proposed, and some problems were solved by means of FA combined with GA.
由于参数对控制变量的影响比较复杂，为了得到较好的控制效果采用遗传算法在多目标函数约束下进行优化。
In order to achieve good control effect, Generic Algorithm is adopted to solve such a complex problem with some many parameters.
由于参数对控制变量的影响比较复杂，为了得到较好的控制效果采用遗传算法在多目标函数约束下进行优化。
In order to achieve good control effect, Generic Algorithm is adopted to solve such a complex problem with some many parameters.
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