搜索资源列表
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
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+
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
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
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
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
- 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