| 1. | Perform crossover operations on the present solutions
对当前解执行交叉操作。 |
| 2. | Methods optimize the routes by using the genetic algorithm ( ga ) whose crossover operator is improved
方法利用遗传算法进行优化，对遗传算法的交叉操作进行改进。 |
| 3. | Crossover operation is the most important operation of genetic algorithms , it is the key to the convergence of genetic algorithms
摘要交叉操作是遗传算法中最重要的一种操作，是影响算法收敛性能的关键。 |
| 4. | These operations form new solutions , which have the information from more than one available solution . this makes it possible to find the solution faster
通过交叉操作构造出的新解具有来自不同当前解的优良特性，因此会有助于加速收敛。 |
| 5. | The simulation result of complicated function optimization shows that this improved crossover operation is much more effective than the standard crossover operation
对复杂函数优化的仿真计算结果表明，同标准交叉操作比较，改进的交叉操作更加有效。 |
| 6. | The method of compond target function variable weighting was adopted for solving compond target optimization problem , and compond target was put into single target
在计算中，为达到无刷直流电动机全局优化的目的，采用随机产生离散初始种群及随机交叉操作和变异操作方法。 |
| 7. | The ga behavior is determined by the exploitation and exploration relationship ( eer ) kept throughout the run . many factors affect the her , the most important ones are those parameters related to the crossover operator and the mutation operator
遗传算法的性能由贯穿其始末的eer平衡关系决定，而影响eer的因素很多，其中比较重要的是与交叉操作和变异操作有关的参数。 |
| 8. | Application of genetic algorithm in data mining has been studied . based on gene hypothesis gene dynamic sort method has been brought forward . its feature is component of genes can become longer and better gene component and because of dynamic sort , good gene component can be kept effectively
在分类规则提取系统中，为了更好地提高算法的寻优和保优能力，提出了基因动态排序方法，即把各基因位按重要性大小进行排序，在此基础上再进行交叉操作。 |
| 9. | An improved crossover operation is proposed , diversity of population and relativity of chromosome are defined , different crossover strategies are selected according to the diversity of population and the relativity of chromosome , ineffective crossover operations are decreased greatly , so the convergence of the algorithm is improved
提出一种改进的交叉操作，定义了种群的多样性和个体的相关性，根据种群的多样性和个体的相关性选择不同的交叉策略，大大减少无效的交叉操作，提高交叉操作的效率，从而改善算法的收敛性能。 |
| 10. | This thesis suggests a process considered minimizes the population size as similar individuals occur in the fitter members of the population , which helps reduce the execution times for ga by removing the redundancy associated with the saturation effect found in the later generation . this thesis uses a method that adds dynamic penalty terms to the fitness function according to the optimal degree of solutions , so as to create a gradient toward a feasible suboptimal or even optimal solutions . on the basis of the difference of the biggest and the smallest of fitness of individual , modifying the fitness function in order to convergence is a satisfaction
动态调节种群大小，去掉遗传算法在迭代后期搜索产生的过多相似个体，达到减少计算时间的目的；按照解的优劣程度给适应度函数增加一个在ga搜索过程中动态改变的可变罚函数，给搜索最优解创造一个梯度，使遗传算法收敛到可行的较优解或最优解；根据适应度值最大和最小个体的差修正适应度函数，使适应度函数值适中不容易造成收敛太快、局部收敛或根本不收敛而变成随机搜索；为了避免“近亲繁殖”采用竞争择优的交叉操作；利用并行遗传算法的思想，提出一种自适应多子种群进化策略；提出人口汰新政策来解决类似甚至相同的个体的情况发生。 |
