搜索资源列表
AdapGA
- 用自适应遗传算法来求解一维无约束优化的问题-Adaptive genetic algorithm for solving one dimensional unconstrained optimization problem
DblGEGA
- 双切点遗传算法求解来一维无约束优化的问题-Double point genetic algorithm for solving one dimension of unconstrained optimization problems
AdapGA
- matlab文件 自适应遗传算法 在MATLAB中实现自适应算法的函数是：AdapGA 功能：用自适应算法解决一维的无约束化问题。 调用格式：[xv,fv]=AdapGA(fitness,a,b,NP,NG,Pc1,Pc2,Pm1,Pm2,eps) 其中fitness是带优化的目标函数。 -matlab file
Matlab
- 非线性整数规划的遗传算法Matlab程序 通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！-Matlab genetic algorithm of nonlinear integer programming Usually, the nonlin
youhua
- 有关遗传算法的例子、关于约束优化问题的例程-Examples of genetic algorithm on constrained optimization routines
GA
- GA函数极值寻优，有约束函数极值寻优，基于遗传算法的有约束的线性方程的最优值寻优-Genetic Algorithm
ShortestPath_GA
- 用遗传算法求解有向带权图必经结点约束的最短路径问题-Genetic algorithm for designated-points shortest path problem.
GAfor-Unit-combination
- 本文针对当前科技水平不足以有效存储电力的情况下产生的发电机机组组合的问题，考虑负荷平衡、输电线传输容量限制等实际情况产生的约束条件，建立机组组合优化模型，追求发电成本最小。同时采用矩阵实数编码遗传算法（MRCGA）和穷举搜索算法，利用MATLAB 7.0.1和C++编程，分别对模型进行求解，并对所得结果进行分析比较，以此来帮助电力部门制定机组启停计划-This article in view of the current level of science and technology would
ProjectScheduling-true
- 针对飞机装配线的加工任务调度问题设计了基于遗传算法的调度算法，包含一套启发式规则和一系列线边约束。-Task scheduling problem for processing aircraft assembly line designed scheduling algorithm based on genetic algorithm, comprising a set of heuristic rules and a series of line side constraints.
ThirdTry
- 结合3次B样条曲线的曲率连续特性和遗传算法对庞大的搜索空间的组合优化能力，在考虑AUV的几何约束的情况下规划出一条光滑、连续的路径曲线。直接运行main函数将会生成三维路径曲线图，种群的平均适应度、俯仰角和曲率的变化曲线。-Combining the curvature continuity characteristics of 3 B spline curves and the combination optimization of genetic algorithm for large se
GA
- 遗传算法的寻优计算 基于遗传算法的有约束的线性方程的最优值寻优-Genetic algorithm has a optimal value optimization constraint linear equation
pso
- matlab粒子群算法和遗传算法是解决约束优化问题，无约束优化问题和多目标优化问题的优化算法-PSO and GA are good optimizational algorithms
0-1
- 通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！-Typically, nonlinear integer programming problem is NP exponential complexity, if the constraint is more comp
genetic-algorithm
- 利用遗传算法优化高维函数问题,针对有约束条件的遗传搜索-Using genetic algorithm to optimize the high dimensional function
GA
- 遗传算法求解无约束目标函数，包含选择操作，变异操作，杂交操作，以及将十进制转化为二进制的编码操作-Genetic Algorithm unconstrained objective function comprises selecting operation, mutation, crossover operation, and will be converted to binary coded decimal operation
Multi-dimensional-function-GA
- 遗传算法处理多维目标函数，约束条件是不同范围下的独立条件。-Genetic algorithm processing multi-dimensional objective function, constraints are independent under the condition of different areas.
Constrained-optimization-GA
- 人个收集的带约束优化问题的遗传算法，都是十分有用和极具参考价值的资料。-A collection of people with constrained optimization problems genetic algorithms, are very useful and very valuable information.
yichuansuanfachengxu
- 用遗传算法解决约束问题，最小二乘法优化问题，线性规划，整数规划，二次规划等-Genetic algorithm to solve constrained problems, least squares optimization, linear programming, integer programming, quadratic programming, etc.
file4zy_GAconstrain
- 带约束的遗传算法，自带例子可以实现，对于遗传算法的初学者也是很好的程序。-Constrained genetic algorithm, carrying examples can be achieved for the beginners of the genetic algorithm is a very good procedure.
nonliner
- 应用遗传算法求解带有约束条件的非线性函数优化问题- U5E94 u7528 u9057 u4F20 u7B97 u7L9 u6129 u7L2 u9E3