搜索资源列表
0-1-knapsack-problem
- 模拟退火解决0-1背包问题，初学者可以借鉴-Simulated annealing to solve 0-1 knapsack problem, beginners can learn from
tsp
- 利用模拟退火算法解决旅行商问题，共二十个城市，选择最优路径-The use of simulated annealing algorithm to solve traveling salesman problem
shengtai432
- 按自然法则计算的一个新分支：确定性退火技术 解决Job Shop调度问题的模拟退火算法改进-Calculated in accordance with the laws of nature a new branch: deterministic annealing to solve the Job Shop scheduling problem to improve the simulated annealing algorithm
SA
- 模拟退火实现的连续函数优化问题。仿真效果良好-Simulated annealing to achieve the continuous function optimization problems. Simulation results
work
- 模拟退火算法的ppt和程序，分四个文件夹- algorithm and ppt of Simulated annealing
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
amosa
- 进化计算会刊的模拟退火多目标优化 大家的杰作 很有参考价值-Multi-objective optimization by simealted fire
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
penumaral
- 通过分析均匀分布与Cauchy分布的分布机制，提出了一种改进的模拟退火图像盲复原算法，该算法选择Cauchy 分布为随机扰动量来产生状态扰动函数。通过计算机仿真，验证了该算法对初值的鲁棒性和复原的效果优于基于均匀分布随 机扰动量模拟退火盲解卷积算法，提高了收敛到最优解的速度 -After analyzing the distribution mechanisms of uniform distribution and Cauchy distribution,an algorith
SA
- 一个很好的模拟退火反演算法程序，例子是地球物理重力反演-A good simulated annealing inversion procedure, example is the geophysical inversion of gravity
safeatureselectionpaper
- 模拟退火算法进行特征选择和参数优化的经典论文-Simulated annealing algorithm for feature selection and parameter optimization of the classic papers
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
annealing
- 这是模拟退火算法，用于解决换热器网络出口温度达到最大值的问题-This is a simulated annealing algorithm used to solve the heat exchanger outlet temperature to achieve maximum network problems
program
- 08年华中数模竞赛一等奖论文并附录了MATLAB程序 08年华中数模竞赛“划分选区问题”一等奖论文，附录了文字解答、模拟退火算法求解和MATLAB程序，非线性整数规划求解和LINGO程序，是数模竞赛很好的参考资料。同时，也是应用模拟退火算法解决问题有价值的参考资料。 -good
TSP
- TSP 模拟退火 求最短路径 哈米尔顿回路-tsp
模拟退火算法解决tsp问题
- 设计一个可以对TSP问题进行组合优化的连续型Hopfield神经网络模型，利用该魔心可以快速的找到最优的一条路线。(A continuous Hopfield neural network model for combinatorial optimization of TSP problems is designed, which can be used to find the optimal route quickly.)
模拟退火
- 利用模拟退火算法 计算城市最短距离 无闭合回路tsp商旅问题求解(monituihou jiejeuchengshi zuiduanlujingwenti)
基于遗传模拟退火算法的聚类算法
- 基于遗传模拟退火算法实现数据的聚类，为后续的数据分析做准备(Data clustering analysis based on genetic simulated annealing algorithm)
模拟退火
- 利用模拟退火算法实现VRP问题，此算法结果较为优良，对了解模拟退火算法有一定的借鉴意义(Using simulated annealing algorithm to achieve the VRP problem, the algorithm results are relatively good, to understand the simulated annealing algorithm has certain reference value)
tuihuo
- 用模拟退火求最短路径，先用蒙特卡罗随机初始化，再进行退火，使收敛的速度快一点，保证解的准确(The shortest path is obtained by simulated annealing. First, the Monte Carlo is initialized randomly, then the annealing is carried out to make the convergence speed a little faster, so as to ensure the a