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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
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
tsp
- tsp问题的解决方法 模拟退火和遗传算法-tsp solution to the problem simulated annealing and genetic algorithm
The-Multi-user-Detection-ALGORITHM
- 联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法-the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was p
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
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!!
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。
GA_SA
- 遗传模拟退火算法优化方法程序,共有两个,可以下来学习-GA_SA Optimization Program
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.)
GA_tuihuo1
- 模拟退火优化遗传算法,改进了遗传操作,自适应参数(improved simulated annealing and optimized genetic algorithm)
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)
GASA
- 运用模拟退火遗传算法解决路径优化问题,其中已给出中文注释(GASA for VPR.Simulated Annealing Genetic Algorithms (SAGA) is used to solve the problem of path optimization, in which Chinese annotations are given.)
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)