搜索资源列表
annealing
- 模拟退火算法求解TSP问题,求解TSP问题的模拟退火算法- The simulation 閫
aiwa
- TSP问题(货郎担问题,旅行商问题)的模拟退火算法通用malab源程序-Traveling Salesman Problem (TSP, the traveling salesman problem), simulated annealing algorithm common source malab
saMatlab
- 用matlab语言编写模拟退火算法,实现0-1被包问题-using Matlab language simulated annealing algorithm to achieve 0-1 by Kit
mul-anneal
- 本代码包包含一个模拟退火算法的c++程序。此外还有其他一些源码,这在该压缩包中,有一个readme文档,对其进行了详细说明。-this code contains a simulated annealing algorithm c procedures. There are also some other source, which in the compressed, a readme files, its a detailed explanation.
MCM85B
- 模拟退火算法的一个数学建模的程序,大家试试看有没有用呀-simulated annealing a mathematical modeling process, we try not use ah
20058222411814490
- 这里还有一个模拟退火算法的程序,我很不容易才找到的,可是我没有用-There is a simulated annealing procedures, I do not easily find, but I did not use
MnthTsp
- 用模拟退火技术解决旅行商问题.算法中采用了人工智能中比较新的模拟退火算法.-simulated annealing technology to solve the traveling salesman problem. Algorithms used in the artificial intelligence relatively new simulated annealing algorithm.
tuihou
- 用VC++方法实现模拟退火算法,解决TSP问题-VC method of simulated annealing algorithm to solve TSP
C-SAA
- 因课程需要,编写了C语言的模拟退火算法,其中随机数的产生方法至关重要。-curriculum needs, the preparation of the C language simulated annealing algorithm, the number of random selection is crucial.
粒子群
- 粒子群算法,也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization),缩写为 PSO, 是近年来由J. Kennedy和R. C. Eberhart等开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操
模拟退火算法
- 解决最短路径问题运用弗洛伊德算法求出图论中的最短路径(Freud algorithm for shortest path)
MATLAB_Codes
- 30个matlab智能算法,包括遗传算法,BP神经网络,模拟退火算法.(30 matlab intelligent algorithms, including genetic algorithm, BP neural network, simulated annealing algorithm)
GASA
- 运用模拟退火遗传算法解决路径优化问题,其中已给出中文注释(GASA for VPR.Simulated Annealing Genetic Algorithms (SAGA) is used to solve the problem of path optimization, in which Chinese annotations are given.)
各种算法解决TSP问题
- 禁忌算法、遗传算法、模拟退火算法、蚁群算法等等解决TSP问题。
matlabprogram
- 智能优化算法及其MATLAB仿真实例,包括进化类算法,群智能算法,模拟退火算法,禁忌搜索算法,神经网络算法等程序源码(Intelligent optimization algorithm and MATLAB simulation examples, including evolutionary algorithm, swarm intelligence algorithm, simulated annealing algorithm, tabu search algorithm, neural
粒子群算法原理及各种改进的PSO的matlab源码
- 各类改进粒子群算法,模拟退火,混合,随即权重,粒子群算法(All kinds of improved particle swarm optimization, simulated annealing, hybrid, random weight, particle swarm optimization)
MATLAB求解VRP
- 遗传算法、模拟退火算法、禁忌搜索算法求解VRP问题的matlab程序(Matlab program of genetic algorithm, simulated annealing algorithm, tabu search algorithm to solve VRP problem)
基于混沌自适应粒子群优化的matlab程序
- 文件包括带压缩因子的粒子群算法,权重改进的粒子群算法,自适应权重法,随机权重法,变学习因子的粒子群算法,异步变化的学习因子,二阶粒子群算法,二阶振荡粒子群算法,混沌粒子群算法,混合粒子群算法,杂交粒子群算法,模拟退火算法(Documents including particle swarm algorithm with compression factor, weighting the improved particle swarm algorithm, adaptive weight meth
chapter7
- 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