| 1. | A spectrum estimation operator is designed and applied in the genetic algorithm to derive the filter coeffients so as to get the satisfactory spectrum property
设计了一种谱估计子，按照该估计子可使遗传算法找到较优的滤波器系数，得到满意的杂波谱特性。 |
| 2. | The method can deal with multi - restrictive conditions of the optimal problem effectively . it ameliorates searching efficiency of ga , and has strong robustness
该方法有效的解决了优化问题中对约束条件的处理，并使遗传算法寻优能力有较大提高，也具有较好的鲁棒性。 |
| 3. | However , after " no free lunch " ( nfl ) theorems were proposed , applications of gas were impacted . therefore , the study on ga - hardness has been paid more and more attention
然而nfl定理的提出，使遗传算法的应用受到了冲击，于是对遗传算法困难度的分析便提上了日程。 |
| 4. | My thoughts were that a wider based gene pool would provide more possibilities to avoid doubling up on the inherited breed problems i had been regularly experiencing
我的想法是建立在基因库会提供更多的避免使遗传问题加倍的可能性，这些问题是我曾经经历过的，并且是有规律性的。 |
| 5. | This makes it possible to approach the global optimal value with less number of units . in comparison with the standard genetic algorithm , this enhanced genetic algorithm is more quickly and reliably
本文不仅将文献[ 11 ]的结果推广到了nurbs曲面的情形，而且使遗传算法计算更加稳定，收敛速度有了明显提高。 |
| 6. | In order to handle the subgraph isomorphism problem , the concept of individuals with state backtracking was proposed , where the state information of some potential individuals produced during the evolution were preserved , which contributed to the design of genetic operators
针对图数据挖掘中经常遇到的子图同构问题，提出了带状态回溯个体的概念，从而使遗传算子的设计更为合理。 |
| 7. | Wen stopped introducing the concept of a barrier - free path to simplify the initial population have , also facilitate the crossover and mutation genetic operator , the operation so that the genetic algorithm in robot path planning application more convenient
文中引入间断无障碍路径的概念以简化初始种群产生,也方便了交叉和变异等遗传算子的操作，从而使遗传算法在机器人路径规划中应用更方便。 |
| 8. | A two - stage hybrid scheme is proposedbased on the criteria that decreasing mode nuinber reasonably and different attention shouldbe given to different class control variables , i . e . , at the begirming stage , a larger granu1arity isused to make ga searching the area contaning optimal sollltion with less generation . thehybrid scheme of binary and integer code distinguished by voltage level is of clear levelconception thus can search the high voltage control variables more carefully . crossover andmutation of ga are also refined on the basis of above scheme
并从合理减少模式数以及对不同变量给予不同程度关注的原则出发，提出了两阶段分层混合编码方案：在遗传算法的开始阶段，用较粗的粒度编码，使遗传算法能够用较少的迭代次数快速搜索到最优解所在的区域；按电压等级分层的二进制和十进制混合编码，具有清晰的层次概念，对那些影响较大的高压网控制变量能够有针对性地以更高的精度进行搜索。 |
| 9. | The eyes can be considered as a salient and relatively stable feature of faces , so firstly eyes - analogue regions in cluttered images are segmented using local adaptive threshold edge detector . then the small eye - analogue regions are grouped together and labeled using a traditional labeling process according to their geometrical and color features . instead of finding potential eye - pairs from eye - analogue regions one by one , all possible pairs of eyes are encode as the solution , and the potential face are searched by gas
新意之处：利用肤色是一种感知现象的特性以及神经网络的强大感知、学习功能，采用进化神经网络对肤色进行感知和分类；以眼睛的几何和周边的肤色特征分割眼睛块，克服了在完整的肤色区域内检测人脸方法的局限性；对候选眼睛对的编号而不是人脸在图像中的位置、人脸的尺度和方向进行编码，使遗传算法用于人脸定位时的问题空间得以大大简化，采用一个新颖的眼睛及脸颊部位的灰度投影及肤色模板验证，可以实现多尺度、任意方向的正面人脸检测，实验结果令人满意。 |
| 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。 |
