- 更多网络例句与交叉遗传相关的网络例句 [注：此内容来源于网络，仅供参考]
-
Second, according to model characteristic, such as non-linear, non-convex, multiple-peaked and so on, the paper discusses limitation of traditional solving algorithm, such as branch and bound method, GBD method and OA method, puts forward penalty function-makeup integer algorithm and genetic algorithm, analyses procedures of genetic algorithm, such as selection, crossover and mutation, brings forward modifications for specific realized problems of genetic algorithm, such as selection of initial points, operator design, adoptive value adjustment, constraint treatment and so on, and works out correlated solving program.
其次针对该模型非线性、非凸、多峰等特点，讨论了分支定界法、GBD法和OA法等传统求解算法的局限性，提出了罚函数一凑整算法和遗传算法的求解思路，对遗传算法的选择、交叉、变异等过程进行分析，对遗传算法初始点选择、算子设计、适应值调整和约束处理等具体实现问题提出了改进措施，并编制了相关的求解程序。
-
To quicken the calculation speed of genetic algorithm, the chiasma operation and mutation operation are improved; based on the thinking of inheritable character, the destruction of fine gene combination during chiasma operation is prevented; drawing lessons from the thinking of modifying individual speed and position in the light of individual extremum and global extremum in particle swarm optimization algorithm, an evolutional mutation method based on gene character is put forward.
为提高遗传算法的计算速度，对交叉和变异操作进行了改进：基于遗传性状的思想，防止了交叉操作中对优良基因组合的破坏；借鉴粒子群算法中根据个体极值和全局极值修正个体速度和位置的思想，提出了根据基因性状进行进化变异的方法。
-
Genetic algorithm and three kinds of hybrid genetic algorithms are presented for parallel machines earliness/tardiness production line scheduling problem.
三。对并行机器生产线提前／拖后调度问题提出了遗传算法和三种混合遗传算法（基于进化交叉的遗传算法、基于模拟退火的遗传算法、基于进化交叉及模拟退火的遗传算法）。
-
The theory and the implementation of the genetic algorithms are discussed in detail. The question on how to choose the crossover probability, the mutation probability, the scale of population and the numbers of the generation is discussed. Then, the mathematics model of the optimal design is established. Exerting the finite element of elastic base beam and using FORTRAN to write the GAFORTRAN program. The program includes the common genetic algorithms and the modified genetic algorithms.
详细介绍了遗传算法的理论和实现技术，探讨了交叉概率、变异概率、群体规模、进化代数等变量的选取问题，建立起了基于遗传算法的深基坑支护结构设计的优化模型，结合弹性地基梁有限元法，利用FORTRAN语言编制了GAFORTRAN优化程序，程序中包括普通遗传算法和改进遗传算法。
-
In the heredity community renewal process, the paper uses one kind of new crossover operator——Improvement Order Crossover, the better solution two difficult problems both has been able to maintain the fine characteristic of father generation, does not destroy the sub-way which produces already in the most superior routing, and can guarantee when participation in the crossover two individual body is same, causes the genetic algorithms not to be able precociously to restrain in the partial optimal solution.
在应用遗传算法求解时，提出采用惩罚策略处理目标函数中对车辆容量的限制和客户对不同时间窗的需求约束，从而使目标解所对应的染色体能够根据违反约束的程度，具有不同大小的适应度；在遗传群体更新过程中，本文采用一种新型的交叉算子——改进的顺序交叉，更好的解决了既不破坏父代染色体中已产生的最优子路径，还能保证当参与交叉的两个个体相同时，遗传算法不会早熟收敛于局部最优解的两个难题。
-
In order to increase the diversity of population, MFCMGA uses idiotypic immune network theory to improve the selection operator of SGA. Meanwhile in order to decrease the randomicity of SGA, the crossover probability, crossover position and mutation probability are adjusted dynamically by using fuzzy inference, which is based on analyzing the heuristic fuzzy relationship between algorithm performance and evolutionary parameters from the viewpoints of environment, population, individual and gene.
该算法利用免疫系统独特性网络学说，改进标准遗传算法选择运算子，提高了种群多样性；同时从环境、种群、个体和基因角度，全面分析算法寻优性能和各种进化参数的启发式模糊关系，采用模糊推理动态调整交叉率、交叉位置和变异率，减小了标准遗传操作的随机性。
-
In the bid to increase the diversity of population, MFCMGA uses idiotypic immune network theory to improve the selection operator of SGA. Simultaneously, in order to decrease the randomicity of SGA, the crossover probability, crossover position and mutation probability are adjusted dynamically by using fuzzy inference, which is based on analyzing the heuristic fuzzy relationship between algorithm performance and evolutionary parameters from the viewpoints of environment, population, individual and gene.
该算法利用免疫系统独特性网络学说，改进标准遗传算法选择算子，提高了种群多样性；同时从环境、种群、个体和基因角度，全面分析算法寻优性能和各种进化参数的启发式模糊关系，采用模糊推理动态调整交叉率、交叉位置和变异率，减小了标准遗传操作的随机性。
-
The coding,crossover,mutating and selecting operations of Genetic Algorithm are designed to solve the problem.
同时，针对基本遗传算法在解决优化问题上的不足，本文对遗传算法的编码、交叉、变异、选择操作进行了设计，采用自适应交叉率的遗传算法进行模型求解。
-
A single machine scheduling problem with batchs setup time depending on sequence is proposed. The math model to minimize setup times is upbuilt. An improved adaptive hybrid genetic algorithm is brought up for solving this scheduling problem. Several operators are redesigned according to the characteristic of this scheduling problem. Follow job optimization recombination crossover is advanced for transmitting the good character to the offspring. To improve the mountain climbing ability of the genetic algorithm, the mutation is replaced by a local optimization algorithm.
提出了一种具有序依赖setup time的单机器批量生产调度问题，以总的setup time最小为目标建立了该生产调度问题的数学模型，设计了一种改进的自适应混合遗传算法求解该生产调度问题，对遗传算法的交叉和变异算子均按照该调度问题的特点进行了改进，提出一种&紧后任务选优重组交叉算子&，该算子能将调度排序上的优良性状很好地遗传到下一代群体中。
-
Simulated anneal and Tabu are extensively applied in the field, in which, Genetic Algorithms is most general one. In the former study of the optimizing for motor, people often focused on cross operator and variation operator, which was based on the G.A.
在以往的以遗传算法为优化设计主要算法的研究中，偏向于对交叉算子与变异算子进行改进以提高遗传算法的效率，即对遗传算法的本身进行改进，从而产生了很多种类的混合遗传算法。
- 更多网络解释与交叉遗传相关的网络解释 [注：此内容来源于网络，仅供参考]
-
chiasm：交叉
一个交叉(chiasm)就是交换的位点. 交换是同源染色体通过联会、断裂、重接在相关位置彼此交换. 遗传重组的证据是在减数分裂中发现交换时细胞学标记发生交换,遗传标记也发生交换交换是一个交互事件,在真核中于减数分裂的前期 = 1 \* ROMAN I 可发生在二......
-
crossover：交叉
但是它比遗传算法规则更为简单,它没有遗传算法的"交叉"(Crossover) 和"变异"(Mutation) 操作. 它通过追随当前搜索到的最优值来寻找全局最优 .PSO同遗传算法类似,是一种基于叠代的优化工具. 系统初始化为一组随机解,通过叠代搜寻最优值.
-
genotype：遗传型
遗传改良工作需要有育种家和生理学家共同参与,从遗传型(genotype)到表现型(phynotyl)e)的桥梁要由生物信息学(Bioinformatics)来连接. 生物信息学作为一门由数学、统计、计算机与生物学交叉结合的新兴学科,已经成为现代农业科学发展不可缺少的重要工具.
-
chiasmatype hypothesis：交叉型假说
遗传的染色体学说 chromosome theory of inheritance | 交叉型假说 chiasmatype hypothesis | 断裂愈合假说 breakage and reunion hypothesis
-
crispate：皱曲的
矮树 cripple tree ;dwarf tree | 皱曲的 crispate | 交叉遗传 criss -cross inheritance Bridge 1913
-
criss crossing：交叉回交
criss cross inheritance 交叉遗传 | criss crossing 交叉回交 | crista 鸡冠状突起
-
criss -crossing cristae; crest：交叉回交(粒线体内的)内褶膜;板状突起
交叉遗传 criss -cross inheritance Bridge 1913 | 交叉回交(粒线体内的)内褶膜;板状突起 criss -crossing cristae; crest | 杂交不孕性 criss -sterility
-
crisscross inheritance：交叉遗传
猫叫综合症 cri-du-chat syndrome | 交叉遗传 crisscross inheritance? | 杂交 cross?
-
sex-intergrade：雌雄间体 性交叉
sex-influencedtrait 从性性状 | sex-intergrade 雌雄间体 性交叉 | sex-limitedautosomaldominantinheritance 性限常染色体显性遗传 限性常染色体显性遗传
-
crossing over：交叉
3.交叉(Crossing over)(图6)存在于同一染色体上的2个以上的遗传基因,其位置太靠近的话,两个基因间发生交叉的机率会降低. 在做减数分裂时,因为两个基因并不分离,所以新生的四核仍然保持原来的AB或ab. 如果发生交叉的情况,这四核中的两核是AB和ab,