搜索资源列表
AGA
- 遗传算法中交叉和变异概率选择的自适应方法及作用机理-Genetic algorithm, crossover and mutation probability to select Adaptive Methods and Mechanism
GA
- 遗传算法源码，按照适者生存和优胜劣汰的原理，逐代（generation）演化产生出越来越好的近似解，在每一代，根据问题域中个体的适应度（fitness）大小选择（selection）个体，并借助于自然遗传学的遗传算子（genetic operators）进行组合交叉（crossover）和变异（mutation），产生出代表新的解集的种群。这个过程将导致种群像自然进化一样的后生代种群比前代更加适应于环境，末代种群中的最优个体经过解码（decoding），可以作为问题近似最优解。-Genetic
pinlvji
- 六位数字频率计的设计程序，包括管脚的分配，分频设计，显示设计-Six digital frequency meter design process，Pin assignment, crossover design, display design
GA
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。-a genetic algorithm (GA)
shiyanliu
- 用VHDL编程实现乐曲播放器设计。使用层次化设计方法，实现乐曲播放器的设计； 使用数控分频器设计硬件乐曲演奏电路，实现多首乐曲播放功能。 -The music player design with VHDL programming. Using the hierarchical design method, design music player NC crossover design hardware music playing the circuit, the song pla
3434
- 遗传算法的GA主函数，选择函数，排序函数，交叉函数，变异函数-Genetic algorithm is proposed to GA Lord function, choose function, sort function, crossover function, variation functions and so on
StockPrediction
- 遗传算法，很难学；有经典例子共享，变异和交叉以及选择，初始化种群-Genetic algorithm, it is difficult to learn a classic example of a shared mutation and crossover, as well as select, initialize the population
My_Genetic
- 自己用c++写的遗传算法，使用单点交叉，解决求函数最大值问题，程序可以简单修改成各位想要的功能。-Written own c++, Genetic algorithm, using single-point crossover, to solve the problem of the maximum demand function, program can simply modify as you want the function.
develop_GA
- 针对SGA的早熟，收敛慢，收敛于次优点的缺陷，做三大改进：自适应交叉变异，模拟退火，交叉方式改进，速度提升65 -For the SGA premature, slow convergence, convergence on the merits of defects, do the three major improvements: Adaptive crossover and mutation, simulated annealing, the cross-ways to improve 6
GAandtheimprove
- 包含功能强大的遗传算法实现和改进的遗传算法实例，改进思想为模拟退火，自适应，多点交叉，均匀交叉-Contains the instance of the powerful genetic algorithm and improved genetic algorithm, improving the ideological and simulated annealing, adaptive, multi-point crossover, uniform crossover
QGA
- 自己编的实数编码量子进化算法,配对交叉 交叉是指把两个父代个体的部分结构加以替换重组而生成新个体的操作。遗传算法中起核心作用的就是交叉算子-Their own series of real-coded quantum evolutionary algorithm, the matching of crossing is part of the structure of the two parent individuals to replace the reorganization generat
Genetic
- 本源程序是对遗传算法进行编程，通过选择、交叉和变异操作等进行遗传操作。-This source of genetic algorithms, programming, and genetic manipulation through selection, crossover and mutation operations.
fpq
- 基于fpga的分频器设计，完整代码及工程-Fpga-based crossover design, the complete code and engineering
ipfp
- 基于fpga的分频器设计，利用ip核做的，完整工程及代码-Fpga-based crossover design, using the ip nuclear, complete engineering and code
Verilog_div_frequency
- 本文使用实例描述了在 FPGA/CPLD 上使用 Verilog进行分频器设计，主要包括50 占空比的奇数分频. -This article uses the example describes the crossover design using Verilog in FPGA/CPLD, including the 50 duty cycle odd divider
011-clk_div_pro
- verilog写的一个分频器，利用控制字累加方式，经测试可用-verilog to write a crossover, the control word can be used incrementally, tested
jiaocha
- 遗传算法以及人工免疫算法或者是蚁群算法中的 交叉操作-Genetic algorithms and artificial immune algorithm or ant colony algorithm, the crossover operator
GAEllite
- 基于精英选择和交叉策略的遗传算法，在标准遗传算法的基础上提高了精度和速度-Elite selection and crossover strategy genetic algorithm on the basis of the standard genetic algorithm to improve accuracy and speed
GA-Sr_CPP
- 利用人工智能中遗传算法编写C++程序，对遗传算法的实现较为具体，包括选择，交叉，变异等诸多实现环节。-The use of genetic algorithms in artificial intelligence to write C++ program realization of the genetic algorithm more specific, including selection, crossover, mutation, and many achieve link.
ga
- matlab,gatool,intialize population binary encoding the population,including selection, mutation,crossover