搜索资源列表
Gan
- 遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-The main genetic algorithm binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation, but also introduces the inversion operation!
dividerfrequency
- 分频器，包括2分频，4分频，8分频，16分频；6分频；20分频-Divider, including two-way, 4-way, 8-way, 16 sub-frequency six-way 20 Crossover
GoodsAllocatingProblemwithMultiAimsbasedonTheHybri
- 多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard p
GA
- 详细介绍GA的PPT,编码,解码,选择,交叉,变异,都是很好的指导性材料-GA details of the PPT, encoding, decoding, selection, crossover and mutation, are very good guidance material
GA
- C++ implementation of a Genetic algorithm (GA). A population of binary chromosomes is generated randomly to attempt to solve the Weighted MAX SAT Problem. Parameters of crossover, mutation, population size can be controlled via macros in code.There a
Solving
- 求解双层规划问题常用的算法有极点算法、直接搜索法、下降法和非数值优化方法(如模拟退火算法、遗传算法等)，遗传算法的求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解。-Solving Bilevel Programming Problems with pole algorithm commonly used algorithms, direct search method, descent
AGA
- 介绍一种改进传统遗传算法的新方法，通过调节交叉概率和变异概率-Introduction of a new genetic algorithm to improve the traditional method, by adjusting the crossover probability and mutation probability
Genetic-Algorithms
- 这是一个简单的ＧＡ源代码，该系统使用比率选择、精华模型、单点交叉和均与变异-This is a simple GA source code, the system uses the rate selection, the essence of model, and both single-point crossover and mutation
AFusionOfCrossoverAndLocalSearch
- 《融合的交叉和局部搜索》本文使用一个新的遗传算子的交叉融合(MSXF称为关联的交叉结合起来经营者以邻域搜索算法。 -《Integration of the cross and the local search》This article uses a new genetic operator of crossover fusion (MSXF called the associated operators to combine cross-neighborhood search al
genetic-matlab-program-instance
- 三个遗传算法matlab程序实现，采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作-Three genetic algorithm matlab program instance，-Based roulette method of nonlinear ranking selection, uniform crossover, mutation operation, but also the introduction of inversion operation
TCA0372
- The TCA0372 is a monolithic circuit intended for use as a power operational amplifier in a wide range of applications, including servo amplifiers and power supplies. No deadband crossover distortion provides better performance for driving coils
Reactive-improved-
- 基于改进交叉操作的遗传算法无功优化研究-Optimization of Reactive improved genetic algorithm based crossover operation
yichuansuanfa
- 遗传算法（Genetic Algorithm，GA）是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象，进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息，它从某一随机生成的初始群体出发，经过选择、交叉和变异等遗传操作后对个体进行适应度评价，保留适应度较强的个体遗传到子代种群中，经过多次的迭代计算求得最优个体，即问题的最优解。本程序采用遗传算法可求解微网优化运行。-Genetic Algorithm is an adaptive global by natu
4.2.2.7-Lab---Building-an-Ethernet-Crossover-Cabl
- Systems communicating over Ethernet divide a stream of data into shorter pieces called frames. Each frame contains source and destination addresses and error-checking data so that damaged data can be detected and re-transmitted. As per the OSI model,
counter
- 利用verilog编写的分频计数器，包括0.01s,1ms，1s三个计数器，可适用于ise14.7开发环境-Use verilog to write a crossover counter, including 0.01s, 1ms, 1s three counters, applicable to ise14.7 development environment
herraiz_icsoft2011
- Optimal power flow (OPF) is one of the nonlinear problems of power system. The various algorithms for solving optimal power flow problem are found in the literature. The genetic algorithm (GA) based solution techniques are found to be most suitab
pol
- matlab code for crossover
Improved-job-shop-scheduling-method
- 为了解决考虑生产总成本的车间调度问题，对引入加工成本、库存管理成本和拖期惩罚成 本的车间调度问题进行了研究，提出了一种改进的遗传算法求解该问题。论述了改进遗传算法的 编码、初始化、选择、交叉和变异操作，通过与基本遗传算法的仿真比较，验证了该算法在收敛速度 和最优解值上的优越性。 -In order to solve the job shop scheduling problem considering the total production cost, the process
00245755
- The paper discusses the simulation, performance and optimum design of single-phase-to- 2-phase cycloconvertors driving an induction motor. Bridge and centre-tapped circuits using triacs with double-integral control are considered. Results a
New-Microsoft-Office-Word-Document-(2)_2
- search based software testing using genetic algorithm some review about crossover and selection techniques