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一个GA源程序
- This a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function - This a simple genetic algorithm implementation where the
sgayiyuanyouhua
- 改进遗传算法－郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数，然后从n个数里随机选择m个数，再有这m个 数合成一个新数，将这个新数同n个数中间适应值函数值的最差的比较， 如果好的话就取代最差的那个，如果它比最好的还要好的话，则把最好的 也取代。如果比最差的坏，则重新合成一个新数。依次循环下去。 -improved genetic algorithm - Guo Tao algorithm optimization is the most
Senfore_DragDrop_v4.1
- Drag and Drop Component Suite Version 4.1 Field test 5, released 16-dec-2001 ?1997-2001 Angus Johnson & Anders Melander http://www.melander.dk/delphi/dragdrop/ ------------------------------------------- Table of Contents: ----------------------
fitness
- 遗传算法中多点交叉算法来优化最小值函数所对应的解－－适应度评价过程-Multi-point genetic algorithm to optimize the cross-algorithm corresponding to the minimum function of the solution- the fitness evaluation process
qq
- 遗产算法的完整计算，包括交叉，变异，以及适应函数的计算-Heritage integrity of the computing algorithm, including the crossover and mutation, as well as the calculation of fitness function
code
- 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、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异，可能得到更好的效果。-Note that the code is designed to seek maximum value, in which the objective function can only take positive and the function value and the individ
mine001
- 适应度计算中要修改惩罚函数的形式。0 3.为提高难度，把适应度改写为自适应的形式。 -Fitness calculation is necessary to modify the penalty function form. 03. To enhance the degree of difficulty, the adaptive fitness rewritten form.
GAsuanfa
- 此程序通过遗传算法(GA)实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,也称码串、染色体。将实际问题的目标函数转变为染色体的适应函数,然后在随机产生的一批初始染色体的基础上,根据各染色体的适应函数值进行繁殖、交叉、变异等遗传操作产生下一代染色体。 -This procedure of genetic algorithm (GA) to achieve gray scale image segmentation, genetic process of the algor
the-basic--program-of-pso
- 基本pso程序，适合初学者使用，使用时直接改fitness函数。-Basic pso procedures, suitable for beginners to use, use directly change the fitness function
pso
- 本代码是一种标准PSO代码(包含适应度函数)-Standard PSO code (includes fitness function)
fitness
- 在纯数学方法难以求解一个函数的值域时，用遗传算法计算函数的最大值-Pure mathematics is difficult to solve the range of a function, using genetic algorithms to calculate the maximum value of the function
A-Genetic-Algorithm-Based-AGC-of-a-Restructured-P
- In this paper, the parameters of PID controller for Automatic Generation Control (AGC) is tuned according to Generic Algorithms (GAs) based performance indices in the restructured power systems. The key idea of the proposed method is to use the
Program
- implementation of gbest pso for given fitness function
Packing-Problem
- 用遗传算法解决装箱问题，通过种群初始化，适值函数计算，交叉计算，变异计算，选择策略来得出最好解。-Using genetic algorithms to solve the packing problem, through population initialization, fitness function calculation, cross calculation, variation calculation, strategies to obtain the best solution
FitFun
- 感应电动机的参数辨识，用于负荷建模的参数辨识的适应度函数，可以用遗传算法进行求解。-Induction motor parameter identification, the fitness function for load modeling parameter identification, we can use genetic algorithms to solve
mopso
- 含有两个适应度函数的多目标粒子群优化算法，可根据需要进行改变-Multi-objective particle swarm containing two fitness function optimization algorithm, can be changed as needed
yihcuan
- 遗传算法在适应度函数选择不当的情况下有可能收敛于局部最优，而不能达到全局最优。-There may be genetic algorithm fitness function poorly chosen circumstances converge to local optimum, but can not reach the global optimum.
algorithm-optimization-
- 采用遗传算法和例子群算法进行优化，可以采用试验设计方法构建试验样本，用Kriging方法构建适应度函数，然后进行优化求解，记住，采用此程序是，应该安装Kring工具箱子-Using genetic algorithm and example of algorithm optimization, experimental design method can be used to build the test sample, with the Kriging method constructing
apso
- 根据机器人工作空间，利用粒子群算法计算关节型机器人各个机械臂尺寸，包含了目标函数，适应度函数等(According to the robot workspace, the particle swarm algorithm (PSO) is used to calculate the dimensions of each robot arm, including the objective function and the fitness function)
finness
- 土地利用模拟中的适应度函数计算，地理栅格紧凑度，(Fitness function calculation and geographic grid compactness in land use simulation,)