initial population造句
例句与造句
- Change tracking population requires an initial population of the full - text in question
更改跟踪填充要求对相应的全文进行了初步填充。 - If you make the rules such that it s too hard to gain fitness , your initial population doesn t stand a chance
如果您制定的规则使得适应性很难获取，则您的初始种群就没有增长的希望。 - Horizontal partition for initial population construction can guarantee the feasibility and quality of initial solution
种群初始化技术采用均衡水平分割法，以保证初始个体的有效性和质量。 - From the randomized initial population , using the operators such as select , crossover and mutation , it can converge the globe optimum solution
从随机产生的初始种群出发，通过选择、杂交及变异等遗传算子，使种群一代一代地进化到最优解。 - Evolutionary algorithm starts from initial population . the individuals of each population embed some new information while the searching can be directed to the promising area
演化算法从种群开始搜索，每个种群所获得的知识都被嵌入了其成员的染色体中。 - It's difficult to find initial population in a sentence. 用initial population造句挺难的
- The indexing component of full - text search is responsible for the initial population of the full - text index , and the subsequent update of this index when the data in the full - text indexed tables is modified
全文搜索的索引组件负责对全文索引进行初始填充，并负责在全文索引表中的数据有所修改时对该索引进行后续更新。 - At last , a new algorithm is proposed to generate automaticlly the optimal initial population for disassembling sequence , which improves the efficiency for genetic algorithms to search disassembling sequences of an assembly
然后，提出一种新的计算模型，据此计算各个零件从装配体上可以拆卸下来的方向，从而确定拆卸序列在几何上的可行性。 - 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。 - Then according to the request of algorithm and characteristic of fpga , the module was divided and the circuit structure was designed , this module includes these functions as follows : initialing population 、 calculating fitness 、 reproduction 、 corssover 、 mutation and population storing
然后依据算法要求以及现场可编辑门阵列( fpga )的特点进行模块划分与电路结构设计,具体包括初始化群体、适应度计算、选择、交叉、变异、群体存储等功能模块。 - Research and application of genetic expression programming algorithm based on uniform - design a new evolutionary algorithm named uniformdesign genetic expression programming ugep based on uniformdesign was proposed , which improved the way of generating initial population and also improved hybrid crossover operators . theoretic analysis proves . .
提出了一种基于均匀设计的基因表达式编程算法ugep ，该算法对经典的gep算法做了以下改进：利用混合水平均匀表的构造对初始种群的产生进行改进，保证了解分布的均匀性引入自适应多亲杂交算子，用均匀优化代替随机进化。 - Aimed at the shortage of ga , this paper improves the simple genetic algorithm and accomplishes the optimal program based on the adaptive genetic algorithm . the result shows that the adaptive genetic algorithm improves the convergence rate . generally , the genetic algorithm randomly generates the initial population
针对简单遗传算法的缺点，本论文提出了对简单遗传算法进行改进?自适应遗传算法，并且编制了基于自适应遗传算法的结构优化程序，算例分析表明得出自适应遗传算法确实提高了遗传算法在应用于结构优化设计方面收敛性和计算速度。 - A modified genetic algorithm ( mga ) framework was developed and applied to the flowshop sequencing problems with objective of minimizing mean total flowtime . to improve the general genetic algorithm routine , two operations were introduced into the framework . firstly , the worst points were filtered off in each generation and replaced with the best individuals found in previous generations ; secondly , the most promising individual was selectively cultivating if a certain number of recent generations have not been improved yet . under conditions of flowshop machine , the initial population generation and crossover function can also be improved when the mga framework is implemented . computational experiments with random samples show that the mga is superior to general genetic algorithm in performance and comparable to special - purpose heuristic algorithms . the mga framework can also be easily extended to other optimizations even though it will be implemented differently in detail
提出了一个改进遗传算法的结构，并且应用于带有目标是最小平均总流程时间的流水调度排序中.为了改进一般遗传算法的程序，两个新的操作被引进到这个操作中.这两个操作为： 1 )过滤操作：过滤掉在每一代中的最坏的个体，用前一代中的最好的个体替代它； 2 )培育操作：当在一定代数内算法不改进时，选择一个培育操作用于培育最有希望的个体.通过大量的随机产生的问题的例子的计算机实验显示出，提出的算法的性能明显好于一般遗传算法，并且和此问题的最好的专门意义的启发式算法相匹配.新的mga框架很容易扩展到其它最优化当中，只是实施的详细的步骤有所不同 - 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。
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