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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
simulated-annealing-algorithm
- 用模拟退火算法实现求函数极值问题,c++原码-Simulated annealing algorithm demand function, extremal problem, c++ source
pso
- 粒子群优化算法是一种进化优化技术,源于对鸟群扑食的行为,是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iter
SimuAPSO
- 模拟退火发与粒子群算法的结合,程序可用,收敛的很快-Simulated Annealing and Particle Swarm made the combination of procedures available, fast convergence
mul
- 模拟退火算法应用于光学模拟方向的程序代码-Simulated annealing algorithm is applied to the direction of the optical simulation code
TSP
- 模拟退火处理tsp问题,matlab 代码-tsp problem matlab code
geneticalgorithmandsimulatedannealingalgorithm
- 建立了多约束条件车辆路径问题的数学模型和求解流程先采用最近插入法生成初始解然后基于遗传算法和模拟退火算法改进初始解-The establishment of a multi-vehicle routing problem with constraint model and solution process first insertion generated by the recent initial solution and based on genetic algorithm and simu
taiozhanbei
- 用遗传算法和模拟退火算法解决旅行商方面的问题-The genetic algorithm and simulated annealing algorithm to solve traveling salesman problems
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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
- TSP 模拟退火 求最短路径 哈米尔顿回路-tsp
ApplicationofLeastSquareSupportVectorMachine
- 基于粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法预测混沌序列-anessayaboutchaospredictionbyPSOLSSVM
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
SimulatedAnnealingSA
- 模拟退火算法的实现,很好的。可以用到很多地方的!-Simulated annealing algorithm, very good. Can be used in many places!
mnth
- 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,对
GA_test
- 遗传算法:二进制、单点交叉、单点变异、轮盘赌、模拟退火(默认无)、最优个体保留(默认无)-Genetic algorithm: binary, single-point crossover, single-point mutation, roulette, simulated annealing (default no), best individual reservations (default no)
SimulatedAnnealing
- 主要介绍模拟退火算法,也是一个很好的启发式算法,在数值优化中用的比较多。-Introduces the simulated annealing algorithm is a good heuristic algorithm used in the comparison of numerical optimization more.
monituihuojulei
- 常规聚类方法不能有效的处理局部极值问题,而模拟退火对处理极值问题有很好的能力
tsp-ac
- 用模拟退火算法编写的解决旅行商问题的一个简单程序,所用语言为c语言。-Prepared by simulated annealing algorithm to solve traveling salesman problem with a simple procedure, the use of language c language.
gega
- 模拟退火算法,可以实现matlab中的旅行商问题,谢谢下载。-The emulation backs fire calculate way