遗传算法

基于遗传算法的多边形逼近3D数字曲线

Polygonal Approximation of 3D Digitized Curves Using Genetic Algorithms

低阶H∞控制器设计的遗传算法方法

Low-order H_ ∞ Controller Design Using Genetic Algorithms

这是一个遗传算法的c的源代码。

This is a genetic algorithm c source code .

用遗传算法搜索GPS单频单历元整周模糊度

Searching Integer Ambiguities in Single Frequency Single Epoch by Genetic Algorithm

用遗传算法构造n阶幻方

Constructing n-order Magic Square by Using Genetic Algorithm

借助于BP算法、遗传算法，论文很好的解决了上述问题。

By BP and GA , those problems are solved .

利用量子遗传算法改进BP学习算法

Using Quantum Genetic Algorithm to Improve BP Learning Algorithm

提出了一种基于多片DSP的单向迁移分布式并行遗传算法。

A DSP based single direction migration distributive parallel genetic algorithm is present .

遗传算法（GA）在实时配送计划系统中的应用

Development of Real-time Vehicle Scheduling System Based on Cellular Genetic Algorithm

基于二叉树编码遗传算法的SOA服务选择

SOA services selection based on binary-tree-coding genetic algorithm

QoS组播路由的启发式遗传算法

Heuristic Genetic Algorithm for QoS Multicast Routing

遗传算法的全局搜索能力弥补了BP算法的不足，使BP网络能跳出局部极值，而且缩短了网络的训练时间。

The global search ability of GA covers the shortage of BP network , and save the training time .

遗传算法（GA）适于求解复杂组合优化问题及非线性函数优化。

GA ( Genetic Algorithm ) is fit for solving complicated combination optimization and nonlinear function optimization .

遗传算法（GeneticAlgorithm）是模拟生物在自然环境中的遗传和进化过程而形成的一种自适应全局优化概率搜索方法，它通过选择、交叉和变异三个过程实现。

Genetic Algorithm which simulates descendiblity and evolution of biologist in nature environment forms a searching method of adapting all-round optimize probability . Genetic has been applied in many fields .

稀疏分光WDM网络中基于遗传算法的组播业务研究

The Research of Multicast Traffics Based on Genetic Algorithm in Sparse-Splitting Optical WDM Networks

研究了基于ASP模式的三维数字化产品目录，重点研究了基于遗传算法的多供应商比较。

We study 3D digital product catalog . We particularly study comparison of multi-suppliers based on genetic algorithm .

使用遗传算法设计HFC无源分配网络

Applied Evolutionary Algorithms to Design HFC Passive Coax Networks

实码加速遗传算法在改进TOPSIS法中的应用

Application of real coded accelerating genetic algorithm to improve TOPSIS method

随机小生境Pareto遗传算法多目标优化

Random niched Pareto genetic algorithm for multi-objective optimization

通过对Web的拓扑分析和基于遗传算法聚类技术，对用户群体进行聚类，以每一类用户为分析对象，挖掘出每一类用户的关联规则。

By analyzing the topology of web site and clustering technology which is based on genetic algorithm , it implements clustering the Web users and mining the association rules of cluster users .

文章用一种免疫遗传算法（ImmuneGeneticAlgorithm，简称IGA）对智能化电磁电器进行结构及控制参数优化设计。

A kind of Immune Genetic Algorithm ( IGA ) is applied to optimal design of the control and structure parameters of intelligent electromagnetic device in this paper .

：研究了WDM全光网络优化中的团覆盖问题，提出了一种基于遗传算法的求解方法。

This paper describes the Clique-Cover problem in WDM network optimization and presents a solution based on genetic algorithm .

由RBF神经网络和遗传算法在线寻优模糊控制器的比例因子、模糊推理规则和隶属函数，并由RBF网络辨识被控对象的动态特性，以评价模糊控制器控制性能。

Dynamic identification model of controlling system is designed based on the RBF neural networks to appraise the controlling performance of fuzzy controller .

同时给出了一个用遗传算法进行单环系统PID控制器优化设计的仿真实例。一种单环前馈线性化功率放大器及其性能分析

The paper also gives an example applying GA to optimize a PID controller of a single loop system . The Construction and Performance of A Single Loop Feedforward Power Amplifiers

将基于GA（遗传算法）的波束成形算法应用于二维圆形天线阵，研究了算法在解决抑制多个窄角度强干扰问题时的性能；

A genetic algorithm ( GA ) assisted beamforming algorithm is applied to a 2-dimensional circular antenna array , and its performance of pattern nulling is studied .

针对CMOSRF平面螺旋电感的物理模型，提出了一种使用遗传算法优化电感设计参数的优化技术。

An efficient optimization technique for CMOS RF planar spiral inductor is presented on the basis of the physical model of an inductor as well as the genetic algorithm .

由于该装配生产线平衡问题是NP-hard问题，开发了相应的遗传算法。

The balancing model is proven to be NP-complete , so a genetic algorithm is developed for the balancing problem .

遗传算法被广泛应用于求解车间作业调度问题（JSP），但遗传算法具有最优参数难以确定的问题。

Genetic algorithms ( GA ) are widely used to solve job shop scheduling problems , but the optimal parameters of genetic algorithms are difficult to determine .

对于线性系统，本文针对其系统矩阵A存在一类不确定性扰动的情况，提出了一种基于遗传算法（GA）的新的参数估计方法。

This paper proposed a new method for parameter estimation based on genetic algorithms ( GA ) for linear systems in the case of its coefficient matrix with uncertain disturbance .

通过编程仿真实验，在求解会出现“组合爆炸”的TSP问题时远优于标准遗传算法。

Through computer simulation , it is proved that this algorithm is better than GA when dealing with the problems in which " computation explosion " .