搜索资源列表
Levenshtein-Distance
- SA算法实现编辑距离功能,压缩包内有两个版本,一个只实现编辑距离的求解,一个在实现编辑距离的计算同时,还将具体的编剧过程打印出来-Edit distance function SA algorithm, compressed package comes in two versions, one only solving edit distance, an edit distance calculation the same time, will also be specific screenwr
SA-TSP
- 一个模拟退火算法,计算旅行商问题:注意:一共三个文件,第一个是主程序,下面两个是子函数-A simulated annealing algorithm to calculate the traveling salesman problem: Note: A total of three files, the first one is the main program, the following two sub-functions
SABP
- BP-SA算法是将BP算法与遗传算法结合,主要功能是对优选非线性相关的属性-BP-SA algorithm BP algorithm and genetic algorithm, the main function is preferred nonlinear properties
sa
- 这是一个解决tsp问题的sa算法,简单经典-This is a sa algorithm to solve TSP problem, a simple classic
sa
- 蚁群算法,现代优化算法,主要用于求解全局解问题,避免陷入局部解中,主要模拟自然界中蚂蚁寻找食物时如何得出最短路经-sa source
SA
- 遗传算法用于指派问题,,,,非常的实用,可用于学习遗传算法编程的人参考-Genetic algorithms for assignment problem,,,, very practical, can be used to study genetic algorithm programming Reference
SA-TSP
- 使用模拟退火算法来解决TSP旅行商优化问题-Using simulated annealing algorithm to solve TSP traveling salesman optimization problem
SA
- 用matalab模拟退火算法解决 10 个城市的 TSP 问题,程序详细、实用,很适合初学者。-Using simulated annealing algorithm to solve matalab 10 cities TSP problem, the program detailed, practical, very suitable for beginners.
SA-Algorithm
- 以TSP问题为解决对象,详细探讨了模拟退火算法的原理,并通过C++语言来模拟实现并仿真算法性能,验证了模拟退火算法在搜索全局组合最优解问题的高效性。-The Study and Design of Simulated Annealing Algorithm
SA
- 利用MATLAB实现模拟退火算法计算商旅问题-Use MATLAB to achieve simulated annealing algorithm Business Problems
SA
- 自己编写的用模拟退火算法求解TSP问题的matlab程序-I have written with simulated annealing algorithm matlab program for TSP
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。
PSA-nonuSA_89941
- 粒子群模拟退火算法 混合算法 可以运行 效果不错-pso sa
Radiation-focusing-device
- 这个是用SA模拟退火算法设计的辐射聚焦器,当然自己可以修改成光束整形程序,用在光束整形中,虽然有效果,但是结果还是不完善。-This is SA simulated annealing algorithm designed to focus the radiation is, of course, they can be modified to beam shaping procedures used in beam shaping, although effective, but the re
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)
sa-pso
- 利用模拟退火算法来接受不好的结果来改善粒子群算法,跳出局部最优陷阱。(The simulated annealing algorithm is adopted to accept the bad results to improve the PSO algorithm and jump out of the local optimal trap.)
PSO(粒子群)-SA(模拟退火)
- 粒子群算法-模拟退火算法,关于matlab的算法说明(Particle swarm optimization-simulated annealing algorithm)
神经网络入门13课源码
- 神经网络入门13课源码 第一课 MATLAB入门基础 第二课 MATLAB进阶与提高 第三课 BP神经网络 第四课 RBF、GRNN和PNN神经网络 第五课 竞争神经网络与SOM神经网络 第六课 支持向量机( Support Vector Machine, SVM ) 第七课 极限学习机( Extreme Learning Machine, ELM ) 第八课 决策树与随机森林 第九课 遗传算法( Genetic Algorithm, GA ) 第十课 粒子群优化( Part
SA
- SA GA PSO等算法及改进的算法,以及Griewank 函数的matlab代码(SA GA PSO algorithm and improved algorithm, as well as the matlab code of Griewank function)