搜索资源列表
SA-Algorithm
- 以TSP问题为解决对象，详细探讨了模拟退火算法的原理，并通过C++语言来模拟实现并仿真算法性能，验证了模拟退火算法在搜索全局组合最优解问题的高效性。-The Study and Design of Simulated Annealing Algorithm
SA
- 利用MATLAB实现模拟退火算法计算商旅问题-Use MATLAB to achieve simulated annealing algorithm Business Problems
SA-shuxuehanshujixiaozhi
- 利用模拟退火法求函数在某一范围的极小值，对于验证模拟退火算法的可行性有重要意义。-Using simulated annealing method the minimum value of a function in a range of simulated annealing algorithm to verify the feasibility of significance.
SA-for-TSP
- 改进的模拟退火算法，求解TSP问题，增加了升温过程，算法效果好。-Improved simulated annealing algorithm for TSP, increasing the heating process, a good algorithm results.
SA
- 最简单的模拟退火算法，自己编的小程序，用于优化问题，求全局最小值。-simmulated annealing (SA)
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- 模拟退火算法的MATLAB实现，通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively av
SA
- 自己编写的用模拟退火算法求解TSP问题的matlab程序-I have written with simulated annealing algorithm matlab program for TSP
sa-pso-bybird
- 基于原始粒子群算法和原始模拟退火算法的结合。具有收敛性好，计算速度快的优势-Combined with the original particle swarm algorithm based on simulated annealing algorithm and the original. Has a good convergence, high calculation speed advantage
SAforVRP
- Matlab编写的，利用 SA算法解决VRP问题-Matlab prepared using the SA algorithm to solve the VRP
SA
- 基于模拟退火算法的TSP问题解算方法和二维路径规划-Based on simulated annealing algorithm for TSP solution method and two-dimensional path planning
Common-GA-SA-MATLAB
- 通用遗传模拟退火算法的MATLAB程序。Common genetic simulated annealing algorithm for MATLAB。-Common genetic simulated annealing algorithm for MATLAB。
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- 模拟退火算法解决TSP问题源程序（C++）-SA for TSP
SA
- 模拟退火算法示例，可直接运行，注释详细，适合初学者-SA algorithm
SA
- 针对于多个城市的最短距离问题或旅行商问题，模拟退火算法，C#程序-For the shortest distance problem or traveling salesman problem in many cities, simulated annealing algorithm, C# program
HestonSQP-DE-SA
- 基于海森矩阵的序列二次规划算法，收敛性较好。-Based on SQP Hessian matrix, convergence is better.
模拟退火法解决车辆路径问题
- 模拟退火法解决车辆路径问题，用matlab编程解决的，亲测可用.
Simulated-Annealing-SA
- 模拟退火算法,MATLAB环境编写，在matlab2011b能运行-Simulated Annealing
SA
- JAVA遗传算法分布式实现，包括extend扩展类功能等，主要实现遗传算法解方程。-JAVA genetic algorithm distributed implementation, including the extend extended class function, the main realization of genetic algorithm solution equation.
SA
- SA模拟退火算法，解决了函数优化问题，只要改变目标函数就可以对不同的函数进行优化。-SA simulated annealing algorithm to solve the function optimization problem, just change the objective function can be optimized for different functions.
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- 遗传算法优化计算的一个例子，可以做参考自变量降维-An example of genetic algorithm to optimize the calculation can be done with reference to the argument dimensionality reduction