搜索资源列表
NP
- 基于模拟退火的粒子群算法,基于自然选择的粒子群算法,基于杂交的粒子群算法-Based on simulated annealing particle swarm algorithm, based on natural selection, particle swarm optimization, particle swarm optimization based on hybrid
annual
- 经典算法,模拟退火,十分实用,适合有一定Matlab基础的人-a very good algorithm
modern_youhua
- 现代最优化算法(有170多页的PPT,2010年的) 分为三个部分 Part 1 概论 Part 2 模拟退火算法 Part 3 遗传算法 现在常用的优化算法 禁忌搜索算法 模拟退火算法 遗传算法 人工神经网络 蚁群算法 粒子群算法 混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simul
monituihuo
- 基于混沌的模拟退火算法,计算机的优化算法,是毕设的内容-Chaotic simulated annealing algorithm, the computer algorithm is complete contents of set
TSP_matlab
- 这是模拟退火算法的一些实例,是关于模拟退火算法的实现,我觉得挺好看懂的-This is some examples of simulated annealing, is on the simulated annealing algorithm, I feel very good to read it
watchanddoaboutmonituihuo
- 模拟退火算法的非常详细的介绍,模拟退火的基本理论、算法实现、实例-profile about monituihuo.basic knowlege/examples/realization
MyHamming
- 模拟退火算法求函数 f(x)的最小值点, 且 l <= x <= u f为待求函数,x0为初值点,l,u分别为搜索区间的上下限,kmax为最大迭代次数 q为退火因子,TolFun为函数容许误差 算法第一步根据输入变量数,将某些量设为缺省值- Simulated annealing algorithm of a function f (x) the minimum point, and l < = x < = u f is the unknown fun
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
TSP-based-on-improved-pso
- 基于对粒子群优化算法原理的分析,实现了一种基于TSP的改进的粒子群优化算法:求解TSP的混合粒子群算法,结合遗传算法、蚁群算法和模拟退火算法的思想来解决TSP问题。-Particle swarm optimization based on the principle of the analysis, implemented based on TSP, improved particle swarm optimization algorithm: solving the TSP hybrid pa
psooptimiton
- 粒子群求解无约束优化问题,包括基本粒子群算法,改进的粒子群算法,还有基于自然选择的粒子群算法和模拟退火的粒子群算法-Swarm for unconstrained optimization problems, including particle swarm algorithm, the improved particle swarm optimization, as well as natural selection based on PSO and simulated annealing p
image_segmentation
- 遗传模拟退火图像分割算法,对学习图像分割的童鞋们很有帮助,分割效果也很好~-Genetic simulated annealing algorithm for image segmentation, image segmentation of the study of children' s shoes are very helpful, segmentation is also very good ~
computer_classical_arithmetic
- 该文件主要为分治策略、概率算法、回溯算法、枚举法、模拟退火算法、排序算法、搜索算法、贪心算法、遗传算法、蚁群算法的介绍及实现方式-The document mainly divide and conquer, probabilistic algorithms, backtracking algorithm, enumeration method, simulated annealing algorithm, sorting algorithm, search algorithm, greedy
tuihuoyichuanfa
- 遗传模拟退火算法,是一种对遗传算法的改进,效率很好。-Annealing Genetic Method
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.
模拟退火算法解决tsp问题
- 设计一个可以对TSP问题进行组合优化的连续型Hopfield神经网络模型,利用该魔心可以快速的找到最优的一条路线。(A continuous Hopfield neural network model for combinatorial optimization of TSP problems is designed, which can be used to find the optimal route quickly.)
SimuA_pso
- 基于模拟退火的粒子群算法。适合初学者对模拟退火和粒子群的理解。(Particle swarm optimization algorithm based on simulated annealing. For beginners, the understanding of simulated annealing and particle swarm.)
SAAC++版
- 使用C++来实现模拟退火算法。适合有一定C++基础的,对模拟退火感兴趣的人。(Using C++ to achieve simulated annealing algorithm. Suitable for people with a certain C++ base, interested in simulated annealing.)
SA_TSP
- 通过模拟退火算法解决旅行商问题,具有较全的功能,改进算法可以直接加入其中(Through the simulated annealing algorithm to solve the traveling salesman problem, with full function, the improved algorithm can be directly added to them)
SA
- 使用模拟退火解旅行商问题,因为这个问题本身是一个NP难问题,所以也就求不到最优解,不过应该可以求得一个比较好的解,然后再手工优化。(Using simulated annealing to solve the traveling salesman problem, because the problem itself is a NP hard problem, so it can not find the optimal solution, but it should be able to ob
simon sample answers
- 解决旅行商问题,模拟退火算法,用PYTHON语言编写,工具是IDLE 3.6.1,应该可以正常运行(annwal SimAnneal aaaaaaaaaaaaaaaa)