改进遗传算法,Improved genetic algorithm
1)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
英文短句/例句
1.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
2.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
3.Optimal Filter Design Based on Improved Genetic Algorithm;基于改进遗传算法的滤波器优化设计
4.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
5.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
6.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
7.Layout Optimal Subproblem Based on an Improved Genetic Algorithm;基于改进遗传算法的布局优化子问题
8.New Product Introduction Planning Model with Improved Genetic Algorithm;基于改进遗传算法的新产品投入计划
9.Designing of DNA Sequence Based on Improvd Genetic Algorithm基于改进遗传算法的DNA序列设计
10.Study of the Inverted Pendulums System Based on an Improved Genetic Alogrithm基于改进遗传算法的倒立摆系统研究
11.Parameter Identification of LuGre Model with Improved Genetic Algorithms基于改进遗传算法的LuGre模型参数辨识
pressed Storage for C-Temporal Relation Data Model Based on Improved Genetic Algorithm基于改进遗传算法的C-TRDM压缩存储
13.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
14.Using Quantum Genetic Algorithm to Improve BP Learning Algorithm利用量子遗传算法改进BP学习算法
15.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。
16.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
17.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
18.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
相关短句/例句
improved genetic algorithms改进遗传算法
1.Study onimproved genetic algorithms approach applied to singlelevel and multiple item uncapacitated lotsizing problem;基于改进遗传算法的单级多项目无能力约束生产批量问题研究
2.Coopration of artifical neural networks andimproved genetic algorithms for solving人工神经网络与改进遗传算法的协作求解
3.In this paper,the fuzzy neural networks based on theimproved genetic algorithms was used in the system.尝试将改进遗传算法优化的模糊神经网络用于舰船组合导航系统中,仿真结果表明,提出的算法比较有效,并且精度和常规卡尔曼滤波算法相当。
3)modified genetic algorithm改进遗传算法
1.Dynamic identification based on Morlet wavelet transform andmodified genetic algorithm基于Morlet小波变换和改进遗传算法的动态识别
2.For the multiple projects scheduling problem,amodified genetic algorithm with schedule generation scheme is put forward based on other researchers effective meta-heuristic approaches.针对资源约束下的多项目调度问题,在前人提出的有效的启发式算法研究路径基础上,本文利用遗传算法,结合进度生成机制,提出了多项目调度的改进遗传算法。
3.A method based onmodified genetic algorithm for optimization of block erection process is proposed.首先对分段装配过程所涉及的工艺约束、分段制造车间生产能力以及分段储备量进行分析,建立在给定船坞周期条件下实现分段储备成本最小的目标函数;然后提出一种适合此类问题的改进遗传算法(Modified Genetic Algorithm,MGA)来求解装配顺序,从而获得全局最优解或者次优解。
4)improved GA改进遗传算法
1.Simulation results show theimproved GA has the higher convergence efficiency and the better graph than the SGA.简述静态MDR问题的研究现状,提出一种新的改进遗传算法。
2.Based on the analysis for crossover operation animproved GA is presented.用遗传算法对某些电磁装置进行优化设计时 ,注意到其收敛速度与交叉编码的相似程度密切相关 ,为此提出了一种基于交叉算子分析的改进遗传算法。
3.The simulation results show theimproved GA has the higher convergence efficiency than the SGA and the basic SSDA.针对图像匹配的数学特点,设计一种新的改进遗传算法用于相关图像匹配。
5)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 anadvanced 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 theadvanced 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。
6)genetic algorithm改进遗传算法
1.Planetary gear optimization based on improvedgenetic algorithm基于改进遗传算法的行星齿轮优化设计
2.In this dissertation, completed servo control system design and studied advance control algorithm on the background of the electronic single axes turntable, and then designed the controller using the general PID,fuzzy control and fuzzy-PID, applied with improvedgenetic algorithm for tuning controller parameters.然后,在实验过程中发现传统的PID控制及模糊PID控制都存在控制器参数难以选择的问题,故提出自适应交叉概率和变异概率的改进遗传算法分别对经典PID和模糊PID的控制参数进行寻优,仿真表明参数经优化后系统的控制性能得到了较大的提高。
3.This paper emphasized on two points: established a new LRP model; designed a two-step algorithm, combined heuristic algorithm withgenetic algorithm.本文的研究重点有两个:整合新的LRP混合整数规划模型;设计启发式算法和改进遗传算法相结合的两阶段算法,并用它来求解相应的问题。
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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