搜索资源列表
Genetic-Algorithm-TOOLBOX-manual
- 遗传算法工具箱使用手册,模拟进化论:选择,交叉,变异,重组。求解问题的最优解。-genetric algorithm tool manual
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
GeneticAlgorithm
- 遗传算法的matlab实现,用来求解多项式极值示例-Genetic algorithm matlab realize, extreme examples for solving polynomial
Ga-Sa-vrp
- 用遗传算法--模拟退火算法求解车辆路径问题。-Using genetic algorithms- simulated annealing algorithm for vehicle routing problem.
yichuansuanfa
- 举出三个简单的实例,通过遗传算法来进行求解。让大家对遗传算法进行理解-Cite three simple example, by means of genetic algorithms to solve it. So that we can understand the genetic algorithm
example
- 铁路机车模具套用匹配遗传算法,主要用于求解铁路机车磨具套用,文件包含主程序-Apply matching locomotives mold genetic algorithm, mainly for solving railway locomotives abrasive apply, the file contains the main program
GAshiliSource
- 遗传算法实例编程求解具体问题,多变量数值求解、最优化-ga-source Numerical Optimization
Particle-Swarm-Optimization
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题;用基于模拟退火的粒子群优化算法求解无约束优化问题-Based on the cross with a genetic particle swarm optimization algorithm for solving unconstrained optimization problems using simulated annealing particle swarm optimization algorithm for solving unc
max_function
- 通过运用遗传算法,来解决非线性函数的最大值求解的问题-Through the use of genetic algorithms to solve the nonlinear function of the maximum problem solving
ga
- 用matlab编的一个遗传算法,可以用来求解函数的最值,可以根据实际需要改动-Using matlab a genetic algorithm, the function can be used to solve the most value, you can change according to actual needs
ZBGA
- 遗传算法的简单应用,用于实现求解0-32之间的最大值-Simple application of genetic algorithms for solving 0-32 to achieve the maximum between
1
- 基于遗传算法和蚂蚁算法求解函数优化问题,文档说明,不错-Based on genetic algorithm and ant algorithm for function optimization problems, documentation, good
swarm-optimization-algorithm-
- 子群优化算法,并把次算法用于求解旅行商问题.为了增强算法的局部搜索能力,在改进的算法中加入倒置,局部搜索等方法,同时利用遗传算法的全局搜索能力强的特点对求到的解再进行优化,同时,对于搜索全局最优路径方面,通过应用消除交叉路径的方法进行了优化.-Sub swarm optimization algorithm, and the second algorithm is used to solve the traveling salesman problem. In order to enhance
myGA
- 这是遗传算法,是一种实用高效的人工智能算法,主要用于工程优化问题的求解。-This is a genetic algorithm, is a practical and efficient artificial intelligence algorithms, mainly for engineering optimization problems.
SBOGA
- 这是遗传算法的改进,是一种实用高效的人工智能算法,主要用于工程优化问题的求解。-This is a genetic algorithm, is a practical and efficient artificial intelligence algorithms, mainly for engineering optimization problems.
GA
- 多目标的十进制遗传算法,可求解多个测试函数的多维的最优值-Multi-objective Genetic Algorithms decimal, multiple tests can be solved multidimensional optimal value function
TSP_matlab
- 旅行商问题(TSP)是典型的NP完全问题,遗传算法是求解NP完全问题的一种常用方法。旅行商问题(TSP)的蚁群算法实现算法。在MATLAB中用遗传算法施行对TSP问题进行了求解,进行了选择、交叉和变异算子进行了算法设计。MATLAB源代码。-Traveling Salesman Problem (TSP) is a typical NP-complete problem, genetic algorithm for solving NP-complete problems, a common m
yc
- 清空环境变量 网络结构建立 遗传算法参数初始化 迭代求解最佳初始阀值和权值 遗传算法结果分析 把最优初始阀值权值赋予网络预测 BP网络训练 BP网络预测 清空环境变量-Empty the environment variable Established network structure Genetic algorithm parameter initialization Iterative Solution optimum initial thres
yicuansuanfa
- 遗传算法可以通过多次迭代寻找全局最优解,功能交一般的线性规划求解模型更强大-Genetic algorithms are available through several iterations to find the global optimal solution, cross-functional general linear programming model is more powerful
PSOTool
- 求解非线性方程组方法有经典算法以及近年来流行的遗传算法.牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择,对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点,设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术,通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术,具有简单易实现、设置参数少、全局优化能力强