搜索资源列表
MATLAB
- 用MATLAB求解遗传算法的旅行商问题,这一类问题在大学生以及研究生的数模竞赛以及日常生活当中尤为重要的,为我们所重视。、近年来,学术界对旅行商问题也逐渐重视起来。-Using MATLAB genetic algorithm for solving the traveling salesman problem, this kind of problem students and graduate students in Mathematical Modeling Contest, and da
GA
- 这是求解多元非线性规划的遗传算法的C++的代码-Solving the multivariate nonlinear programming genetic algorithm. . . . . .
main
- 通过改进的遗传算法来求解复杂的非线性方程组-Through the improved genetic algorithm to solve complex nonlinear equations
Genetic-and-Simulated-Annealing
- 针对战区装备保障点动态选址问题的广义最大覆盖选址模型,综合分析传统的启发式算法全局、局部搜索中的 优缺点,提出一种基于BP神经网络的遗传模拟退火算法,并将其运用于战区装备保障点动态选址决策实际同题中,对该算法 进行了仿真研究,给出具体实例的仿真结果验证了该算法求解最优解的高效性以及运算的高收敛速度。-Considering the generalized maximal covering location model of dynamic locating on war zone e
GAC
- 一个简单实用的遗传算法C语言程序代码,可以方便有效的求解函数坐直问题。-A simple and practical genetic algorithm C language code, you can easily and effectively solve the problem of function upright.
ga_tsp
- 一个非常有用的用遗传算法求解tsp的小例子,简洁易懂。-A very useful small example using genetic algorithms to solve tsp, concise and easy to understand.
nsga2code
- 一个关于多目标优化算法的程序,经典遗传算法求解多目标优化问题源码-Classical genetic algorithm for solving multi-objective optimization problem source
BreedPSO
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题-Based on cross genetic particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
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
yichuan
- 基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver
GA-vrp
- 运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型,采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize custo
code(1)
- 风电机组: 电价0.6 Pw_max=[2,1,3,4,5,5,4,2,3,5,5,1,2,4,5,5,5,4,3,5,3,3,2,4]; 光伏: 电价0.9 Pf_max=[0,0,0,0,0,0,1,2,3,4,5,5,5,5,4,3,1,0,0,0,0,0,0,0]; 热电机组: 电价 0.4 成本 标准煤价格 500元 电加热: 功率平衡约束: QL=[18,16,12,16,18,20,14,22,12,18,4,20,6