| 1. | The effective ways to overcome such problems are to maintain the population diversity and enhance exploitation of local search domains
相应的解决策略是：维持种群个体多样性和增强对局部领域的搜索开采能力。 |
| 2. | In order to maintain the population diversity , the algorithm retains the individuals which have better fitness and farther away from the sets of the selected individuals , and uses the parameters of clustering to reduce computation cost
为了保持种群的多样性，算法保留那些具有较好适应值并且与所选的最优个体集合较远的个体，并利用聚类的参数来减少计算量。 |
| 3. | 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。 |
| 4. | The parameter can be adjusted adaptively by incorporating population entropy into the algorithm to provide a quantitative measure of population diversity of individuals in the population and new individuals can be introduced into the population by a big - mutation operation when the individuals in the population tend to be consistent . the case study shows that the algorithm can alleviate the problem of premature convergence as well as improve the efficiency and scope of searching
本研究将信息嫡引入遗传算法以度量种群的多样性;当判断其发生过早收敛时，则通过“大变异”操作来引入新个体，从而有效缓解了成熟前收敛的发生，提高了算法搜索的范围与效率。 |
| 5. | In the second charper , two reformed metheds has presented , which are competition adaptation - ga based on elitist and dual mutation adaptive - ga which can increase the population diversity and can decrease the dependence of genetic algorithms " result to the control parameter of operators and the status of initial population . to testify their abilities of algorithms , some studies have excuted which included the study to optimize parameter for pid and the study to multivariable intelligent decoupling control for mimo system . the outcomes have showed us that this amendment has a better effective than conventional means and the genetic algorithms which have no change
第二章中，在已有文献的基础上，创新性的提出两种改进算法：基于最优保留的联赛竞争机制遗传算法( competitionadaptation - gabasedonelitist )和双变异自适应遗传算法( dualmutationadaptive - ga ) ；通过对算法中选择算子和变异算子的有效改进，提高了算法的寻优能力和寻优效率，增加了群体中个体模式的多样性，对于算法中存在的欺骗问题、早熟问题以及成熟前收敛问题有明显的改进作用。 |
| 6. | 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。 |
| 7. | In this paper , we propose an improved evolutionary algorithm combining diversity maintaining mechanism and accelerating operators , which focuses on the contradiction between the maintenance of population diversity and search efficiency in solving multimodal function global optimization problem on a bounded area
摘要针对演化算法求解有界区域上的多峰函数全局优化问题中，保持种群多样性和搜索效率的矛盾，提出了一种结合了多样性维持机制和加速算子的改进演化算法并对算法作了收敛性分析。 |
| 8. | This dissertation proposes a new and effective optimization - - immune genetic algorithm ( iga ) on the analysis of the drawbacks of traditional ga ' s and developing the useful and discarding the useless of existing immune theories . this dissertation aims to make the designed algorithm resolve the contradiction of local search capability and global search capability effectively and keep the population diversity during the evolving progress so as to remedy the demerits of traditional ga ' s
本文在分析了传统遗传算法的缺陷机理和扬弃了已有免疫理论的基础上，提出了一种新型有效的优化算法? ?免疫遗传算法( immunegeneticalgorithm , iga ) ，旨在通过对生物体实际免疫行为的模拟，使设计的优化算法能够有效解决全局搜索能力和局部搜索能力的矛盾、维持演化过程中种群的多样性，从而弥补传统遗传算法的缺陷。 |
| 9. | Marine bacteria play a great role in the occurrence and declination of red - tide based on their population diversity biophysiological and biochemical character diversity , ecological function diversity and heredity diversity thus , bacteria - alga relationship has been a hotspot in red - tide research . for the first time , we studied the effect of marine bacteria , isolated from xiamen west sea area , on the growth and toxicity of alexandrium tamarense under lab condition . the results were as follows : 1
本实验选择赤潮多发区、易发区厦门西海域为本课题研究领域，以发生频率高、范围广、危害严重的赤潮原因种塔玛亚历山大藻( alexandrium . tamarense )为主要研究对象，首次研究了在可控生态条件下几株分离自厦门西海域海洋细菌对a . tamarense生长和藻毒力的影响，所取得的主要结果如下： 1 |
| 10. | The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed . inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process , a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed . the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected , memory cells can be produced , similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ) . it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm , but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly . the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper
分析和探讨了量子计算的特点及免疫进化机制,并结合免疫系统的动力学模型和免疫细胞在自我进化中的亲和度成熟机理,提出了一种基于量子计算的免疫进化算法.该算法使用量子比特表达染色体,通过免疫克隆、记忆细胞产生和抗体相似性抑制等进化机制可最终找出最优解,它比传统的量子进化算法具有更好的种群多样性、更快的收敛速度和全局寻优能力.在此不仅从理论上证明了该算法的收敛,而且通过仿真实验表明了该算法的优越性 |
