搜索资源列表
模拟退火c++的算法程序
- 模拟退火c++的算法程序,广泛应用于最优化、运筹学、人工智能、遗传算法等领域,具有很好的学习价值-simulated annealing algorithm procedures, the most widely used optimization, operations research, artificial intelligence, genetic algorithms and other areas of learning is very good value
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
111
- 基于模拟退火遗传算法的车辆调度问题研究,用MATLAB语言加以实现
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
包括蚁群,模拟退火,遗传,神经网络,禁忌搜索等智能优化算法对TSP问题的解决
- 包括蚁群,模拟退火,遗传,神经网络,禁忌搜索等智能优化算法对TSP问题的解决,matlab程序。
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
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
xujinpeng-matlab.rar
- 遗传算法编程求解旅行商问题;图论中最短路问题的Matlab程序实现;背包问题模型的Matlab程序实现。,Genetic Algorithm for Solving Traveling Salesman Problem programming graph theory, shortest path problem in the Matlab program implementation knapsack problem Matlab model implementation process.
MoLiTuiHuoYiChuanSuanFa
- 关于模拟退火遗传算法的MATLAB程序,欢迎各位下载学习,相互交流。-On simulated annealing genetic algorithm MATLAB program, welcome to download the study, each other.
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)
基于遗传模拟退火算法的聚类算法
- 基于遗传模拟退火算法实现数据的聚类,为后续的数据分析做准备(Data clustering analysis based on genetic simulated annealing algorithm)
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)
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
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.)
遗传退火算法fortran实现
- 遗传算法与模拟退火算法的混合算法,用于最优化问题的求解。(The hybrid algorithm of genetic algorithm and simulated annealing algorithm is used to solve the optimization problem.)
Boxing Problem
- 利用遗传算法和模拟退火,解决三维装箱问题,并可图形化展示装箱方案结果(Solving 3-D boxing problem by Genetic Algorithm and Simulated Annealing. In addition, the solution of boxing scheme can be displayed graphically)