混合遗传

Simulation experiment results show that the HAGA is more effective to solve the DM problem than the AGA.

仿真实验结果表明所设计的混合自适应遗传算法比自适应遗传算法能更有效的解决协同多目标攻击空战决策问题。

In the HAGA, a local search approach is embedded into the Adaptive Genetic Algorithm to improve its search performance.

在混合自适应遗传算法中，将一种局部搜索方法引入自适应遗传算法以提高其搜索能力。

Johannsen experimented with the Princess bean and found that if the self-fertillzing parent plants were from a mixed population, then selection did indeed work. He described the offspring of single parent as a ' pure line ' and stated that they were genetically identical. In 1905 he coined the terms ' phenotype ' to describe the outward appearance of an individual and ' genotype ' to describe the genetic makeup of an individual.

约翰逊用菜豆做实验，结果发现：如果自体受精的亲本植株来自一个混合群体，那么选择确实是有效的，而被称为"纯系"的单亲后代则表明它们在遗传上是一致的。1905年他首次采用"表现型"来描述某一个体的外观形状，用"基因型"来描述某一个体的遗传组成。

According to the characteristics of strong global search, but weak local search and slow convergence of genetic algorithm, this paper proposed a new hybrid algorithm which combined GA and PSO, and applied it successfully to automatic software test data generation.

针对遗传算法具有较强的全局搜索能力，但局部搜索能力较弱，且收敛速度慢的特点。将遗传算法与粒子群算法结合起来形成新的混合算法，并成功应用到软件测试数据自动生成过程中。

A new method named HOMGA is proposed to improve the ability of GA, which is the combination of micro-GA, orthogonal design and Solis-Wets, moreover the substructural identification is also used.

本文提出将微遗传算法、改进的正交交叉算子和多变量Solis-Wets局部搜索算法结合，组成混合正交微遗传算法，并进一步应用子结构法，降低问题求解的规模，减少计算中陷入局部极小点的可能。

The new statistical analysis methods are mostly based on mixed linear model approaches for estimating variances and covariances, unbiasedly predicting random effects, analyzing conditional variaces and effets, and composite interval mapping.

基于混合线性模型的分析原理的统计分析方法包括方差和协方差估算方法、随机效应的无偏预测方法、条件遗传方差和条件遗传效应的分析方法、复合区间作图方法等。

Monte Carlo simulations were conducted to study the new approaches of QTL mapping, the results indicated that general least squares method, which was widely applied in mixed linear model, could unbiasedly estimate all genetic main effects, including additive effects, dominance effects and epistatic effects of additive by additive, additive by dominance, dominance by additive, dominance by dominance.

对新提出的QTL分析力法进行了Monte Carlo模拟研究，结果表明，广泛应用于混合线性模型的广义最小二乘法能够无偏估计加性效应，显性效应以及加加、加显、显加、显显上位性效应等各项遗传主效应；运用线性无偏预测法能够无偏预测上述各项遗传主效应与环境的互作效应；基于QTL效应的杂种优势预测也是无偏的。

Firstly,the author analyzes principles and general methods of lustering- based Data mining.

本文作者首先认真研究分析了基于聚类的数据挖掘的基本原理，提出了一个将单亲遗传算法与Kohonen聚类算法相结合的混合聚类算法，克服了Kohonen 算法的局部最优问题以及采用普通遗传算法聚类时的搜索速度和聚类精度的矛盾。

A model is initially developed based on the in the integer programming, whose objective function is subject to the minimization of the total re-shuffle containers. To reduce the total number of reshuffles for retrieving the containers, a hybrid algorithm, which combines heuristic rule and distributed genetic algorithm, is employed to solve the model. The heuristic rule is to reduce the range of feasible solution and distributed genetic algorithm is to solve the optimization.

该策略以压箱数最少为目标，建立基于整数规划的选位模型；根据发箱时较低翻箱率的要求，采用启发式算法和分布式遗传算法相结合的混合算法求解选位模型；其中启发式规则用于缩小可行解的范围，分布式遗传算法用于求近似最优解。

One is a large scale nonlinear programming model with equalities, the other is a more complicated NP hard and nonlinear compound 0-1 programming model. It is difficult for the existed algorithms to fulfill the demands of efficiency and size for the above problems. Two corresponding genetic algorithms are presented, in which several suitable genetic operations are constructed to make the optimization search process in the range of feasible solutions.

一个为大规模的带等式约束的非线性规划模型，另一个为更为复杂的带NP难解问题的混合非线性0-1规划，已有算法都难以满足上述两种问题的求解规模及效率的需要，我们给出了相应的遗传算法，确定了适当的遗传操作，使得问题的寻优过程始终都在可行解范围内进行，不仅提高了优化速度，而且有效地提高了优化效果。

They weren't aggressive, but I yelled and threw a rock in their direction to get them off the trail and away from me, just in case.

他们没有侵略性，但我大喊，并在他们的方向扔石头让他们过的线索，远离我，以防万一。

In slot 2 in your bag put wrapping paper, quantity does not matter in this case.

在你的书包里槽2把包装纸、数量无关紧要。