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ctcoffenpin
- 利用ctc模式产生分频器。用atmega16单片机。有proteus仿真/。-Crossover use of patterns ctc. Single-chip microcomputer with atmega16. There proteus simulation /.
KnapsackProblem
- 基本遗传算法带最优保存思想的背包问题，其中，目标值那段代码使用的是惩罚函数法，选择是概率选择，交叉是双点随机交叉，变异是概率变异-The basic genetic algorithm with elitist thinking knapsack problem, which is a target that part of the code using penalty function method, choice is the probability of selection, crosso
pso
- 粒子群优化(Particle Swarm Optimization - PSO) 算法是一种新兴的有潜力的进化算法( Evolutionary Algorithm - EA) .PSO 算法,和遗传算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质. 但是它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作. 它通过追随当前搜索到的最优值来寻找全局最优。-pso
GA3
- 遗传算法--函数最优化任意随机交叉父体。在遗传算法中引入任意随即交叉概念，增加个体多样性。-Genetic algorithms- function is to optimize the parent body of arbitrary random crossover. The introduction of any genetic algorithm is then cross-concept, increase the diversity of individuals.
SGA_C
- 基本遗传算法的实现，包括简单的交叉，变异操作-Basic genetic algorithm, including the simple crossover and mutation operators
Simple-genetic-algorithm-source-code
- 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂
Crossover
- 分频器的设计，包含普通分频器和占空比为50 的奇数分频 ；4位乘法器的VHDL程序；-Crossover design, including general divider and the duty cycle of 50 of the odd frequency 4-bit multiplier VHDL procedures
div32
- 基于verilog的分频器 23分频器 可更具需要修改成任意偶数分频器-23 divider verilog-based crossover can be even more need to modify the divider into any
my_ga
- Rudolph G. Convergence analysis of canonical genetic algorithms. IEEE Trans. On Neural Networks, 1994,5:96~101 [36] Rudolph G. Asymptotic convergence rates of simple evolutionary algorithms with Cauchy mutations. IEEE Transactions on Evoluti
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
4fenpinverilog
- verilog语言编写的4分频设计模块及仿真-Verilog language crossover design module and simulation
GA1
- 遗传算法 编码解码采用二进制编解码 交叉 变异 选择操作采用轮盘赌 -genetic algorithm The binary coding and decoding decoding Crossover Mutation The roulette wheel selection operation
Untitled2
- 基于量子遗传算法的多目标优化，参数为种群规模m二50，量子位数n二2，转角步长初值氏=0.01二，变异概率p二二0.1，交叉概率Pc二0.8，限定代数丈~二5-Quantum genetic algorithm-based multi-objective optimization parameters for population size m 50, the quantum number n = 2, the corner step initial value s = 0.01, mutati
ants(colony_basic)
- 基本遗传算法求解tsp问题，包含GA的选择、交叉、变异等操作。-Basic genetic algorithm tsp problem contains the GA' s selection, crossover, and mutation operation.
ga_tsp
- This paper is the result of a literature study carried out by the authors. It is a review of the dierent attempts made to solve the Travelling Salesman Problem with Genetic Algorithms. We present crossover and mutation operators, developed to tackle
GA
- 遗传算法来解决目标优化问题 用到选择交叉变异-Genetic algorithm to solve the problem of the objective optimization used to select the crossover and mutation
the-main-genetic-algorithm
- 说明: fga.m 为遗传算法的主程序 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!-Descr iption: Fga.m for the main program of the genetic algorithm binary Gray code, based on the roulette method nonlinear ranking selection, uniform crossover and mutation, bu
Verilog-crossover-design
- Verilog分频器设计分频器是FPGA设计中使用频率非常高的基本单元之一-Verilog crossover design
SOURCE
- n order to solve the Traveling Salesman Problem (TSP) through Genetic Algorithms (GAs), a method of changing crossover operators (CXO), which can flexibly substitute the current crossover operator for another suitable crossover operator at an
PZ_MACrossover_EA
- MA crossover EA this is for forex EA trading etc..