| 1. | Then , two methods are applied to keep the diversified variety of colony : reserve two special units in new population and increase the mutation factor
针对遗传算法的群体多样性过低的缺点。提出了两种改进方法，使得群体始终充满多样性。 |
| 2. | This dissertation defines two parameters based on the diversity measure as the input of the flc which is used to control the ga ' s crossover probability and mutation probability
本文从群体多样性的角度出发，定义了两个参数作为模糊逻辑控制器的输入变量，输出为遗传算法的交叉概率和变异概率。 |
| 3. | Simulation results on six difficult optimization problems show that the multi - objective genetic algorithm based on sorting and clustering have ideal effects on the aspects of its speed and diversify
比较试验结果表明，基于分类和聚类的多目标遗传算法，在运行效率与保持群体多样性等方面取得了较好效果。 |
| 4. | A modified genetic algorithm is proposed . in the dissertation a different fitness function is constructed and similarity is introduced , which can increase variety of population md avoid prematurity
这样可以增加群体多样性，在一定程度上避免早熟现象发生；然后利用改进遗传算法对图像进行了分割计算，将目标与背景分割开来。 |
| 5. | The theory analysis and experimental results show that the algorithm not only effectively keeps population diversity , but also alleviates the undulate phenomenon in evolutionary latter stages meanwhile increases the convergent speed greatly
理论分析和仿真结果表明，该算法不仅能够有效地保持群体多样性，而且减轻了遗传算法的后期波动现象，同时收敛速度明显提高。 |
| 6. | In ciefcm , a tiny disturbance was added to filial generation group by using chaos variable and the disturbance amplitude was adjusted step by step , which greatly improves the colony diversity of immune evolution algorithm ( tea )
该算法把混沌变量加载于免疫算法的变量群体中，利用混沌搜索的特点对群体进行微小扰动并逐步调整扰动幅度，明显改善了免疫算法的群体多样性。 |
| 7. | On the basis of former work , author presents a fga based on the diversity measure . in order to keep the dynamic balance between eer , t ' uz / y logic controller ( flc ) was used to adjust ga ' s important parameters dynamicly
本文在前人研究的基础上，基于群体多样性测度设计了一个模糊遗传算法，利用模糊逻辑控制器来动态调整遗传算法中的重要参数，保持遗传算法eer的动态平衡。 |
| 8. | Based on the global stochastic searching method of classic genetic algorithm ( ga ) , and using the diversity preservation strategy of antibodies in biology immunity mechanism , the method greatly improves the colony diversity of ga and has better global searching capability
该算法在传统遗传算法全局随机搜索的基础上，借鉴了生物免疫机制中抗体的多样性保持策略，改善了遗传算法的群体多样性，具有更好的全局搜索能力。 |
| 9. | After a short - term load forecasting method based analogous and linear extrapolation is proposed , the load forecast and the priority of equipment action are led into static reactive power optimization . the aim function is constructed for the practical situation of power system . on the basis of traditional genetic algorithm the fitness function and the holding of population diversity are improved
在提出基于相似日和线性外推的短期负荷预测新方法的基础上，将负荷预测和设备动作优先级引入静态无功优化中，并结合电网实际情况，构造了实用的目标函数，对遗传算法的适应度函数和群体多样性的保持进行了改进，采用邻域搜索算子增加遗传算法的局部寻优能力。 |
| 10. | Thirdly , resorting to cooperation - competition model of biomathematics , this thesis proposes a new co - evolution model . simulation results are shown to verify its effect and practicabilitv . last , standard methods for optimizing neural netvvorks are easily trapped into local optimization , and unable to adjust the structure of neural networks , thus their application is limited to certain extent
本文主要验证和设计适应性操作算子和小生境方法保持群体多样性的能力，实验表明两种方法都能较好地达到目的；利用生物合作竞争模型设计协同演化来动态地改变群体规模，实验表明该模型是有效的；人工神经网络是得到越来越广泛应用的学习系统，但是由于学习算法存在一定的缺陷，如易于陷入局部极值，难以调整网络的结构等，使神经网络的应用受到一定的限制。 |
