搜索资源列表
GA
- 遗传算法求解物流配送中心选址模型的MATLAB程序代码(Location of logistics distribution center)
newnew
- 遗传算法 用遗传算法求解双层规划模型得到最优解(genetic algorithm Solving Bilevel Programming Model with genetic algorithm to get the optimal solution)
pso GA PID参数整定
- 该程序为微粒群算法与遗传算法求解pid参数整定MATLAB程序，优化结果包含参数输出与参数曲线变化图。(The program solves the PID parameter tuning MATLAB program for particle swarm optimization and genetic algorithm, and the optimization results include parameter output and parameter curve change dia
求函数最优值
- 量子遗传算法求解函数最佳值问题，里面富有matlab程序代码(Quantum Genetic Algorithm Solves Function Optimal Value Problem with Matlab Program Code)
yichuan1
- 用MATLAB和遗传算法求解问题的实例，计算函数的最值问题(The MATLAB and genetic algorithms are used to solve the problem, and the most valued problem of the function is calculated.)
22蚁群算法的优化计算——旅行商问题(TSP)优化
- 这是完整的基于MATLAB的遗传算法的程序，是关于旅行商问题的求解(This is a complete procedure of genetic algorithm based on MATLAB, which is about solving traveling salesman problem.)
Untitled6
- 对车间调度用遗传算法求解，使用matlab软件进行分析(Genetic algorithm for job shop scheduling)
GA-M
- 基本遗传算法，根据遗传算法求解函数最优解(GAThe basic genetic algorithm is based on genetic algorithm to solve the optimal solution of function.)
TSP(GA)
- 遗传算法求解TSP问题的全部函数，运行时间很短。(THE FUNCTION OF GA to solve the tsp problem.)
GA
- 遗传算法求解TSP，可以运行，效果好。。(Genetic algorithm for TSP)
遗传算法1
- 遗传算法求解求解vrp问题，以送货问题为算例，已知送货量和距离矩阵。(Genetic algorithm for solving VRP Problem)
ga_TSP
- 遗传算法求解TSP问题，可生成迭代图像，有详细中文注释(Solving TSP problem by GA)
vrpGA
- 使用遗传算法求解VRP问题，可更改数据，可用(Solve VRP problem with GA algorithm.)
遗传
- 求解最优路径的MATLAB遗传算法，求解无人机在100个城市之间的最优路径(MATLAB genetic algorithm for solving optimal path)
GA多目标优化问题
- 采用遗传算法进行多目标优化问题的求解，具体为两个目标优化问题(genetic algorithm solve multi-objective problem)
自适应遗传算法
- 是一种求解优化模型的好算法，收敛快，搜索快，并且精度高，且以学习
物流调度
- 物流车辆调度（单中心仓），遗传算法求解过程源代码
用遗传算法求解多目标函数优化
- 多目标函数，在多个约束条件的情况下用遗传算法找出最优解(Multi-objective function, using genetic algorithms to find the optimal solution under multiple constraints)
基于遗传算法的多目标优化
- Matlab源码，通过非支配排序NASA-II,实现通过遗传算法求解多目标优化。
power system scheme
- 用遗传算法求解电网规划问题，双层算法求解，上层为遗传算法，下层利用拉格朗日对偶线性化后求解(Genetic algorithm is used to solve the power grid planning problem, double-layer algorithm is used to solve the problem, the upper layer is genetic algorithm, and the lower layer is solved by Lagrange dua