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模拟退火算法、遗传算法求解TSP修改版2
- 模拟退火法，最新的源代码，可以解压缩后直接使用，非常方便，很适用的-simulated annealing method, the latest source code can be extracted directly after use, very convenient, very applicable
tigongyuanma
- 该文件包共有5个文件 TSP--传统算法---说明TSP的传统算法实践 背包问题----0-1背包问题的传统算法实践 模拟退火算法----模拟退火算法实现TSP问题 我的通讯录----我整理写的个人通讯录 遗传算法----遗传算法解决TSP问题
sa_gibbs.rar
- 本程序是关于地球物理反演模拟退火程序，和已经上传的遗传算法、Tarantola非线性反演是一整套。本着学习交流之用，切勿用于商业用途。,This procedure is about the geophysical inversion of simulated annealing procedures, and genetic algorithms have been uploaded, Tarantola is a set of non-linear inversion. In the exc
TSP.rar
- 经典的人工智能问题求解，附有遗传算法和模拟退火算法，以及调试过程,Classical artificial intelligence problem solving, with a genetic algorithm and simulated annealing algorithm, as well as the debugging process
GA
- 本程序是在MATLAB平台上，利用智能优化算法遗传算法来解决01背包问题。在0 / 1背包问题中，需对容量为c 的背包进行装载。从n 个物品中选取装入背包的物品，每件物品i 的重量为wi ，价值为pi 。对于可行的背包装载，背包中物品的总重量不能超过背包的容量，最佳装载是指所装入的物品价值最高。-This procedure is in the MATLAB platform using intelligent genetic algorithm optimization algorithm t
Optimizers
- 一系列好用的用户友好的启发式优化算法，包括非自适应算法，基于模拟退火算法的种群算法，基本遗传算法，差分进化算法以及粒子群优化算法。此外，也包括神圣算法，它利用了所有这些优化算子，虽然有时交换种群之间的不同算法。-A nice set of user-friendly heuristic optimizers. Included are a non-adaptive, population based Simulated Annealing algorithm, a basic Genetic A
gafuzzymatlab
- 模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集 -Simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures
GASA
- 图像分割的优化算法，结合了遗传算法和模拟退火算法，并将优化算法和原始otsu方法进行了比较-Optimization of image segmentation algorithm that combines genetic algorithm and simulated annealing algorithm and optimization algorithm and the original method otsu are compared
Custtc_zizi_xo
- 包含神经网络算法、遗传算法法、模拟退火算法与模糊数学方法 -Contains the neural network algorithm, the genetic algorithm method, simulated annealing and fuzzy mathematical methods
Intelligent-algorithm
- 智能算法，matlab应用大全，遗传算法，模拟退火算法，粒子群算法等-Intelligent algorithm, matlab application Daquan, genetic algorithms, simulated annealing algorithm, particle swarm algorithms
SGA
- 遗传算法中的模拟退火算法是重要的例子，可进行选择，寻优和验证-Genetic algorithms, simulated annealing algorithm is an important example, can be selected, optimization and validation
ACO-PID
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle s
NP-hard-problem
- matlab模拟退火算法，处理背包问题，相比较与遗传算法模拟退火原理简单，编译容易-matlab simulated annealing algorithm to handle the knapsack problem, compared with the genetic simulated annealing algorithm is simple, easy to compile
ACO-PID
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, pa
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!!
精通MATLAB智能算法(2015代码)
- 这是一个智能算法程序吧，里面有模拟退火算法，遗传算法，粒子群算法等等，希望这些算法对初学者来说有用处。(This program is an intelligent algorithm, simulated annealing algorithm, genetic algorithm, particle swarm optimization (pso) algorithm and so on, hope that the algorithm is useful for beginners.)
遗传模拟退火算法
- 介绍了遗传算法和退火算法的结合使用，提高了GA本身的性能(introduce a method combine GA with SA to make a difference to GA)
智能优化算法资料
- 优化算法有很多，经典算法包括：有线性规划，动态规划等；改进型局部搜索算法包括爬山法，最速下降法等，模拟退火、遗传算法以及禁忌搜索称作指导性搜索法。而神经网络，混沌搜索则属于系统动态演化方法。 梯度为基础的传统优化算法具有较高的计算效率、较强的可靠性、比较成熟等优点，是一类最重要的、应用最广泛的优化算法。但是，传统的最优化方法在应用于复杂、困难的优化问题时有较大的局限性。(There are many optimization algorithms, the classical algori
模拟退火遗传算法
- 模拟退火遗传算法的车辆调度研究，里面具有完整的matlab程序(Research on vehicle scheduling with simulated annealing genetic algorith)
遗传模拟退火算法求解TSP问题matlab代码
- 解决车辆路径问题，改进的模拟退火和遗传算法，全面详细，适用于解决VRP问题和物流车辆规划(To solve the vehicle routing problem, the improved simulated annealing and genetic algorithm, comprehensive and detailed, suitable for solving VRP problems and logistics vehicle planning)