改进的遗传算法,Improved Genetic Algorithm
1)Improved Genetic Algorithm改进的遗传算法
1.Based on the non-circular failure surface analysis method for the calculation of integral stability of slope,an improved genetic algorithm is presented;it can freely search for the most dangerous failure surface of slope and corresponding minimum safety factor without supposing the geometric shape of the most dangerous failure surface.以边坡稳定性计算的非圆弧滑动面条分法为基础,提出一种改进的遗传算法。
2.An improved genetic algorithm (IGA) is put forward, which could adjust control parameters dynam- ically and improve the best solution and convergence speed.提出了一种改进的遗传算法。
3.The improved genetic algorithm has better feature of global minimum.利用改进的遗传算法确定组合预测模型的权系数，然后进行负荷预测。
英文短句/例句
1.Assembly sequence planning based on the improved genetic algorithm基于改进的遗传算法的装配序列规划
2.Modifications and Applications of Genetic Algorithm and Particle Swarm Optimization;遗传算法与粒子群算法的改进及应用
3.Anycast QoS routing algorithm based on improved genetic algorithm基于改进遗传算法的选播QoS路由算法
4.Methods Optimize the routes by using the genetic algorithm (GA) whose crossover operator is improved.方法利用遗传算法进行优化，对遗传算法的交叉操作进行改进。
5.An improved method for roulette wheel selection of genetic algorithm对遗传算法的轮盘赌选择方式的改进
6.Realization of improved genetic algorithm based on ANSYS基于ANSYS的改进遗传算法的实现
7.Research on intrusion detection system based on improved genetic algorithm基于改进遗传算法的入侵检测的研究
8.Genetic Algorithm with Improved Genetic Operation of Suppressing Premature Convergence一种改进的抑制早熟收敛的遗传算法
9.Improved Genetic Algorithm Used in Elevator Group Control Systems;改进型遗传算法在群控电梯中的应用
10.Study on Reactive Power Optimization Based on the Improved Genetic Algorithm;基于改进型遗传算法的无功优化研究
11.Improved Genetic Algorithms and Their Applications in Power Systems;改进型遗传算法在电力系统中的应用
12.Improvement of Genetic Algorithm for TSP and Its Parallelization Study;TSP遗传算法的改进及其并行化研究
13.Research on Solving Traveling Salesman Problem Based on Modified Genetic Algorithms;基于改进遗传算法的TSP问题求解研究
14.The Research of K-means Clustering Algorithm Improvement Based on Genetic Algorithm;基于遗传算法的K-MEANS聚类改进研究
15.Optimal Filter Design Based on Improved Genetic Algorithm;基于改进遗传算法的滤波器优化设计
16.Research on Improved Genetic Algorithm for Three-dimension Container Loading Problem;三维集装箱装载的改进遗传算法研究
17.Research on TSP of Optimization Based on Improved Genetic Algorithm;基于改进遗传算法的TSP问题优化研究
18.A modified genetic algorithm for multi-product assembly scheduling;多品种装配顺序的一种改进遗传算法
相关短句/例句
improved genetic algorithms改进的遗传算法
1.In this paper, the simple genetic algorithms are improved, the numerical model of electromagnetic wave with simple hole is reproducted to holographic image by using theimproved genetic algorithms( IGAs).对基本遗传算法进行了改进,并运用改进的遗传算法对单孔电磁波法的数值模型进行了全息重现,计算结果与实际模型非常接近,表明改进的遗传算法能够很好地解决反演问题,同时也说明改进的遗传算法在反演问题中有着非常广阔的应用前景。
2.A new approach based on the detected position and theimproved genetic algorithms is developed,namely the two stage method.第一阶段:应用静应变残差进行损伤定位;第二阶段:基于已经识别出的损伤位置,利用改进的遗传算法进行损伤程度的标定。
3)Improved decimal strings genetic algorithm改进的十进制遗传算法
4)improved parallel genetic algorithm改进的并行遗传算法
1.In order to improve performances of computer communication networks and to decrease their operational costs, the problem of capacity and flow assignments in computer networks is optimized by using animproved parallel genetic algorithm.为了改进计算机通信网络的性能并降低其运营费用,采用改进的并行遗传算法,对计算机网络中容量与流量分配问题进行了优化,比较了不同算法所得到的网络运营费用。
2.In order to improve performances of computer networks, animproved parallel genetic algorithm is presented.为了改进计算机网络的性能 ,提出了一种改进的并行遗传算法 ,采用多群体并行进化与自适应地改变遗传参数 ,对计算机网络中路由选择问题进行了优化 ,比较了不同算法所得到的链路利用率及网络的平均时延 。
5)improved adaptive genetic algorithm改进的自适应遗传算法
1.To overcome these problems,animproved adaptive genetic algorithm(IAGA)was proposed.为克服这些缺点,提出了改进的自适应遗传算法(improved adaptive genetic algorithm,IAGA)。
6)improved hierarchy genetic algorithm改进的递阶遗传算法
延伸阅读
数值遗传算法分子式：CAS号：性质：基于自然界生物进化机制的一种全局最优化方法。在遗传算法中，被研究体系的响应曲面看作为一个群体，响应曲面上的每一个点作为群体中的一个个体，个体用多维向量或矩阵来描述，组成矩阵的和向量的参数(元素)相应于生物中组成染色体的基因。染色体用固定长度的二进制位串(bit string)表示。通过交换(染色体基因交换)、突变(改变染色体基因)等遗传操作，在参数的一定范围内进行随机搜索，不断改善数据结构，构造出不同的向量，相当于得到了被研究问题的不同的解(一个个体相当于一个解)。目标函数较优的点被保留，较差的点被淘汰，最后达到全局最优化。
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