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- 遗传退火进化算法, 遗传退火进化算法-Genetic annealing evolutionary algorithm, genetic annealing evolutionary algorithm
shengtai543
- 模拟退火算法和遗传算法程序 用matlab语言实现的-Simulated annealing algorithm and genetic algorithm matlab language program with the
matlabSA
- matlab 模拟退火算法 内含遗传算法及迭代过程-simulated annealing algorithm matlab implicit and iterative process of genetic algorithm
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- 绝对经典的模拟退火算法源文件 含遗传算法-Absolute classic simulated annealing algorithm with genetic algorithm source files
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
simulated-annealing-genetic-method
- 一种新型的算法，将模拟退火法和遗传算法相结合，用于求解预测问题-A new algorithm, simulated annealing and genetic algorithm are combined to solve the prediction problem for
gmt
- 此为遗传算法和模拟退火算法相结合的一个方法，可实现对函数的优化-This is the genetic algorithm and simulated annealing algorithm, a combination of methods, the optimization function can be realized
基于遗传模拟退货的聚类算法
- 基于遗传算法和模拟退火的模糊均值聚类算法(Fuzzy mean clustering)
遗传退火进化算法.rar
- 可以利用模拟退火算法通过降温求得最优解和最优规划(The simulated annealing algorithm is used to obtain the optimal solution and the most optimal planning)
[原创]模拟退火算法论文集
- 牛顿迭代求根遗传退火算法的APP打包，十分实用，适合新手(The Numerical Phenomenon in Newton's Iterative Method for Solving Complex Polynomials)
遗传算法处理NURBS曲线逼近（Matlab实现）
- 在Matlab平台上采用将模拟退火算法及遗传算法相结合的曲线拟合方法，实现以任意次数、任意顶点数的非均匀有理B样条（NURBS）曲线逼近给定测量点序列(On the Matlab platform, we use the curve fitting method combining simulated annealing algorithm and genetic algorithm to achieve the sequence of a given measurement point wit
算法
- floyd算法又称为插点法，是一种利用动态规划的思想寻找给定的加权图中多源点之间最短路径的算法，模拟退火算法是局部最优解能概率性地跳出并最终趋于全局最优，遗传算法是一种通过模拟自然进化过程搜索最优解的方法。(The Floyd algorithm is also known as the insertion point method, which is a multi weighted graph using the idea of dynamic programming for the giv
模拟退火算法和遗传算法程序
- 使用MATLAB编写的模拟退火算法和遗传算法的源代码(The source code of the simulated annealing algorithm and genetic algorithm written in MATLAB)
MATLAB智能算法30个案例分析
- 采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法等最常用的智能算法的MATLAB实现。(Taking the intelligent algorithm as the main line, we explain the MATLAB implementation of the most commonly used intelligent algorithms, such as genetic algorithm, immune algorithm, annealin
遗传算法退火算法
- 利用MATLAB实现模拟退火算法的在各实际情况中的应用(The application of simulated annealing algorithm.)
chapter20 基于遗传模拟退火算法的聚类算法
- 基于matlab实现遗传、模拟算法在聚类中的应用(Application of genetic algorithm and simulation algorithm in clustering based on MATLAB)
基于遗传模拟退火算法的聚类算法
- 遗传模拟退火算法和聚类算法的结合，有助于学生课程设计，熟悉算法代码的学习(The combination of genetic simulated annealing algorithm and clustering algorithm is helpful to students' curriculum design and familiarity with algorithm code learning.)
Annealing algorithm
- 利用退火算法实现无人机路径巡航，但是效果比不上遗传算法。(The annealing algorithm is used to realize the route cruise of UAV.)
30个智能算法模型
- 1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-obje
MATLAB智能算法30个案例分析代码
- 压缩包内是关于BeiHang出版的matlab智能算法30个案例的代码，对于学习理解智能算法的原理和编程有一定的帮助。如遗传算法、粒子群算法、免疫优化算法、模拟退火算法、BP算法等。(there are 30 matlab codes, which match a book about intelligence algorithms,such as genetic algorithms, PSO, ACO,BPO,etc. WISH that will be help for you.)