搜索资源列表
遗传算法和模拟退火算法相结合的并行实现
- 遗传算法和模拟退火算法相结合的并行实现-genetic algorithms and simulated annealing algorithm combining the parallel implementation
遗传退火进化算法(附源码)
- 对Matlab中的遗传算法工具箱进行改进而得到的遗传退火进化算法。可用于一般的最优化问题,求解无约束的或带有线性约束的连续函数的全局最小值。 首先对传统的遗传算法和模拟退火算法进行改进,然后将模拟退火算法引入了遗传算法,结合两种算法的优点,得到一种新的遗传退火进化算法。它不但实现了遗传算法的全局搜索能力与模拟退火算法的局部搜索能力的结合,同时可使改进后的模拟退火算法能够充分利用遗传算法所得的全局信息。经验证,改算法能使遗传算法避免产生早熟收敛,增强了算法的全局收敛性,而且加快了算法的收敛速
模拟退火算法和遗传算法TSP
- 模拟退火算法和遗传算法TSP模拟退火算法和遗传算法TSP
ANNandSAA
- 用matlab编写的遗传算法和模拟退火程序-Matlab prepared using genetic algorithms and simulated annealing procedures
TSP
- 这是一个人工智能方面的算法程序,里面包含模拟退火算法、神经网络算法以及遗传算法三个。-This is an area of artificial intelligence algorithm procedure, which includes simulated annealing algorithm, neural network algorithms and genetic algorithms in three.
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
SAGA
- 用模拟退火优化遗传算法,使遗传算法具有反向搜索能力,通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.
GODLIKE
- 遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of
The_Intelligent_Optimization_Methods
- 有关智能优化方法(模拟退火,遗传算法,禁忌搜索,等等)-The intelligent optimization methods (simulated annealing,genetic algorithm,tabu search,etc)
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)
模拟退火遗传算法程序
- 模拟退火遗传混合算法,求解NP-HARD问题(this program is used to analyse genetic-simulated annealing algorithm (GSA) by matlab)
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)
基于matlab的模拟退火-遗传算法程序
- 基于matlab的模拟退火-遗传算法程序,内有matlab代码样例,可自行下载(Matlab based simulated annealing genetic algorithm, there are examples of matlab code, you can download it yourself.)
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.)
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.)
6退火遗传算法优化BP神经网络的研究
- 退火算法优化BP神经网络的研究,介绍了一种新的方法(Annealing algorithm to optimize BP neural network)
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)