搜索资源列表
SA_Algorithm
- 模拟退火算法在飞机巡航中的应用，采用MATLAB编写。-Simulated annealing algorithm in aircraft cruise, using MATLAB prepared.
Algorithms
- matlab源码：K-means算法,粒子群算法PSO，模拟退火算法SA-The matlab source code: K- means algorithm, particle swarm optimization (PSO, simulated annealing algorithm SA
Simulated-annealing-algorithm
- 模拟退火算法的详细讲解，基本的matlab代码实现，入门必需-Explain in detail the simulated annealing algorithm matlab code basic, entry required
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.
SGA2
- 模拟退火算法和遗传算法相结合，构建的模拟退火遗传算法，实现优势互补-Simulated annealing algorithm is combined with genetic algorithm, simulated annealing genetic algorithms to construct, realize the complementary advantages!!
suijishenjingwanglou
- 随机神经网络 主要有模拟退火算法和Boltzmann机及其应用-There are random neural network algorithms and simulated annealing Boltzmann Machine and Its Applications
include
- 非常有用的模拟退火算法入门知识可以下载-SA very useful
SA_GA_ExampleI
- 基于谢菲尔德大学的遗传算法的模拟退火算法-University of Sheffield, based on genetic algorithm simulated annealing algorithm
simulated-annealing-algorithm
- matlab模拟退火算法的TSP算法，并实现以求解得到最优。-matlab simulated annealing algorithm TSP algorithm and implementation.
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)
SA
- 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
Simulated-Annealing-Algorithm
- 一种有效的模拟退火算法，解决全局最优化问题的快速算法，简单易懂，经测试效果很傲-An efficient simulated annealing algorithm, the fast algorithm to solve the problem of global optimization, and easy to understand, the test effect is very proud
PSO
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来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) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
pso-bp
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来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) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
Tsp
- 模拟退火算法求解TSP问题,这个算法比其他的算法找到的最优解相对最优-Simulated annealing algorithm for TSP, the optimal solution of this algorithm is better than other algorithms to find the optimal relative
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
simulated-annealing
- 清华大学本科生智能优化课程报告，用模拟退火算法和遗传算法解决TSP问题，含核心代码和注释-Tsinghua University undergraduate course reports intelligent optimization, simulated annealing algorithm and genetic algorithm to solve TSP problem, including the core code and comments
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
SA_TSPproblem
- 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-TSP problem (traveling salesman problem, traveling salesman problem) simulated annealing algorithm malab common source
html5-3
- 本例程适用于html5代码开发人员，主要介绍了html5模拟退火算法的代码。-html5 quitfire