population diversity meaning in English
群体多样性
Examples
- 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。 - 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。 - 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。 - 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。 - 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。