搜索资源列表
GASA
- 图像分割的优化算法，结合了遗传算法和模拟退火算法，并将优化算法和原始otsu方法进行了比较-Optimization of image segmentation algorithm that combines genetic algorithm and simulated annealing algorithm and optimization algorithm and the original method otsu are compared
matlabSA
- matlab 模拟退火算法 内含遗传算法及迭代过程-simulated annealing algorithm matlab implicit and iterative process of genetic algorithm
123
- 绝对经典的模拟退火算法源文件 含遗传算法-Absolute classic simulated annealing algorithm with genetic algorithm source files
monituihuo_beibao
- 模拟退火算法解决背包问题，使得背包能得到最好的利用。-Simulated annealing algorithm to solve knapsack problem, the backpack can be the best possible use.
TSP
- 模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。根据Metropolis准则，粒子在温度T时趋于平衡的概率为e-ΔE/(kT)，其中E为温度T时的内能，ΔE为其改变量，k为Boltzmann常数。用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组合优化问题的模拟退火算法：由初始解i和控制参数初值t开始，
tuihou
- 模拟退火算法经常用于最优化问题，本算法通俗易用！-Simulated annealing algorithm often used for optimization problems, this algorithm is popular to use!
SAPSO
- 模拟退火-粒子群算法，该程序将模拟退火算法和粒子群算法相结合，对优化参数有很好的效果-Simulated annealing- particle swarm optimization, the program will be simulated annealing algorithm and particle swarm optimization by combining optimization parameters have a good effect
VPRTW-SA
- 运用模拟退火算法求解带时间窗约束的车辆路径问题-The use of simulated annealing algorithm with time window constrained vehicle routing problem
SA
- 这是用模拟退火算法解决0-1背包问题，下载后可直接运行，可以帮助有需要对模拟退火算法进行了解的朋友。-This is a simulated annealing algorithm to solve the 0-1 knapsack problem, after downloading, can be directly run, you can help those in need of the simulated annealing algorithm to find out about fr
simulated_annealing
- 人工智能问题，通过模拟退火算法实现旅行商问题，随机产生31个地址，计算旅行商走完的最短路径，并绘制路线图。作者：陈华昌-Using simulated annealing algorithm achive "traveler" problem.
munituihuo
- 模拟退火算法解决TSP问题，用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组合优化问题的模拟退火算法：由初始解i和控制参数初值t开始，对当前解重复“产生新解→计算目标函数差→接受或舍弃”的迭代，并逐步衰减t值，算法终止时的当前解即为所得近似最优解-Simulated annealing algorithm to solve the TSP problem, combined with solid-annealing simulation optimiza
TSP
- 有遗传算法及模拟退火算法对TSP的应用，有框架窗口。-A genetic algorithm and simulated annealing algorithm for TSP applications, there are frame window.
tsp
- 高级人工智能算法中的TSP问题求解，应用模拟退火算法实现-tsp problem solved in vc++
TSPAlogrithm
- tsp问题的模拟退火算法实现,使用VC++实现，-TSP DEVELOPMENT BY VC+
TSP
- 应用模拟退火算法求解TSP的主要程序，主要应用在ITS中。-Application of simulated annealing algorithm for TSP of the main proceeding.
PSO
- 基于模拟退火的粒子群算法，模拟退火算法在搜索过程中具有该概率突跳的能力，能够有效地避免搜索过程陷入局部极小解。-Based on simulated annealing particle swarm optimization, simulated annealing algorithm in the search process has a sudden jump in the probability of the capacity, which can effectively avoid th
SA
- 模拟退火算法和最速下降法的结合，既有模拟退火算法的全局性，搜索过程中最速下降法确定搜索方向，提高了收敛速度。-Simulated annealing algorithm and a combination of steepest descent method, both simulated annealing algorithm for the global nature of the search process in the steepest descent method to determ
SimulatedAnnealing
- 本文介绍了模拟退火算法的原理和求解方法,并将其用于指数曲线的拟合,在Matlab语言环境下实现了该算法,并且与文献中的遗传算法、线性回归相比较。数值模拟结果表明,该算法能更好地实现最优拟合。-This article describes the principle of simulated annealing algorithm and solution methods, and used an exponential curve fitting, the language environmen
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- 模拟退火算法解决最优路径问题，此程序只需根据需要输入数据即可，验证过了，可行-the best way
TSP
- 用模拟退火算法和遗传算法实现TSP旅行商问题，并可以用Matlab对结果进行图形显示分析，非常实用于初学者-Using simulated annealing algorithm and genetic algorithm traveling salesman problem TSP, and the results can be used Matlab graphics analysis, very useful for beginners