1)improved single parents genetic algorithm改进单亲遗传算法
英文短句/例句
1.A Study of Distribution Network Reconfiguration Base on the Improved Patheno-genetic Algorithm;基于改进单亲遗传算法的配电网重构方法研究
2.The Improved Partheno Genetic Algorithm Based Economic Dispatch of Hydrothermal Power System;基于改进单亲遗传算法的水火电力系统经济调度
3.Application and Study of Improved Partheno-Genetic Algorithm to Catchment Basin s 3-D Modeling;改进的单亲遗传算法在汇水盆地三维建模中的应用研究
4.Partheno Evolution Genetic Algorithm Solving Travelling Salesman Problem with Pickup and Delivery一种基于单亲进化遗传求解路径优化的新算法
5.Improved K-Means Algorithm Based on a Simple Genetic Algorithm一种基于简单遗传算法的K-Means改进算法
6.The Application of Single-neuron PID Improved by Genetic Algorithms;遗传算法改进的单神经元PID控制器及其应用
7.Study of TSP Based on Partheno-Genetic Algorithm;基于单亲遗传算法的TSP问题研究
8.Application of Partheno-Genertic Algorithm in Traveling Salesman Problem单亲遗传算法在TSP问题中的应用
9.The Sort Algorithm for the Air-compressor Blade Based on Simulated Annealing Partheno Genetic Algorithm基于退火单亲遗传算法的压气机叶片排序算法
10.Partheno Genetic Algorithm for Solving Job-shop Scheduling Problem一种求解单件车间调度问题的单亲遗传算法
11.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
12.Using Quantum Genetic Algorithm to Improve BP Learning Algorithm利用量子遗传算法改进BP学习算法
13.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
14.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。
15.The Application and Research of Single Parents Genetic Algorithms on the Optimization of Network of Drains;单亲遗传算法在排水管网优化中的应用研究
16.Distribution Network Optimized Design Based on Partheno-Genetic Algorithm;基于单亲遗传算法的配电网络优化规划
17.The Research of Intelligence Auto-generating Test Paper Based on Partheno-Genetic Algorithm;基于单亲遗传算法的试题生成及其应用研究
18.Research on Machine Layout Problem Based on Partheno-Genetic Algorithm;基于单亲遗传算法的设备布局问题研究
相关短句/例句
PEGA单亲进化遗传算法
1.On the basis of analyzing the function and existed location method of physical distribution centres by TGA(Traditional Genetic Algorithm),this paper puts forward to use PEGA(Partheno Evolution Genetic Algorithm) to solve location model.为更好地实现多个配送中心优化选址,在分析物流配送中心的作用及现存的用传统遗传算法进行选址的基础上,提出应用单亲进化遗传算法求解选址模型。
2.On the basis of analyzing the function and existed location method ofphysicaldistribution centre by TGA traditionalgenetic algorithm), it is put forward to use PEGA partheno evolution genetic algorithm ( ( to solve location model.为更好地实现配送中心优化选址,在分析物流配送中心的作用及现存的用传统遗传算法进行选址的基础上,提出应用单亲进化遗传算法求解选址模型。
3)partheno-genetic algorithm单亲遗传算法
1.Firepower allocation method based on partheno-genetic algorithm;基于单亲遗传算法的火力分配方法
2.Study on simulation and method of multi-lines facilities layout problem based on partheno-genetic algorithm;基于单亲遗传算法的多行设备布置方法及仿真
3.A logistics delivery model based on the least cost and its hybrid partheno-genetic algorithm;基于最小费用的物流配送模型及其混合单亲遗传算法
4)partheno genetic algorithm单亲遗传算法
1.Research on parallel partheno genetic algorithm based on the immune programming;基于免疫的并行单亲遗传算法研究
2.New partheno genetic algorithm based on immune programming and its application;基于免疫规划的单亲遗传算法研究及其应用
3.Research on air-crew assignment based on partheno genetic algorithm基于单亲遗传算法的飞行机组指派技术
5)Improved genetic algorithm改进遗传算法
1.Fuzzy robust optimization design of discrete tolerance based on improved genetic algorithm;基于改进遗传算法的离散公差模糊稳健优化设计
2.Optimization of operation parameters in waterflooding system based on improved genetic algorithm;基于改进遗传算法的注水系统运行参数优化
3.Design of arm on down-hole drill based on improved genetic algorithm;基于改进遗传算法的潜孔钻机钻臂设计计算
6)advanced genetic algorithm改进遗传算法
1.An Application of Advanced Genetic Algorithm in TSP;改进遗传算法在TSP中的应用
2.This paper introduces an advanced genetic algorithm for single-objective optimal models on the basis of optimal models for production composition of natural gas development programming.在气田开发规划产量构成优化模型的基础上,引入一种单目标模型的改进遗传算法,把无约束优化中的直接解法Powell方法作为一个与选择、交叉和变异平行的算子嵌入到基本遗传算法中;并利用了一种新的退火精确罚函数法处理约束条件,运用MATLAB6。
3.A mathematical formulation is proposed based on the advanced genetic algorithm of controlling generating units from the viewpoint of generation companies.针对这种情况,从发电厂的角度,结合电力市场运营实际和时段负荷经济方法,运用经济学领域的边际分析理论[1],提出了以利润最大为目标函数的优化火电机组启停的改进遗传算法。
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。