搜索资源列表
GOA
- MATLAB蝗群算法，解决无约束优化问题-MATLAB locust swarm algorithm to solve unconstrained optimization problems
aco
- 蚁群算法是现代优化算法，这个是直接可以编译通过的蚁群算法求解51城市的TSP问题的MATLAB源代码 -Ant colony algorithm is a modern optimization algorithm, which is directly compiled by the ant colony algorithm to solve the 51 cities of the TSP problem MATLAB source code
GA-PSO
- GA优化PSO算法，解决二元函数找最值问题，matlab程序，开发环境R2012b-GA optimization PSO algorithm to solve binary function to find the most value problem, matlab program, the development environment R2012b
DFP
- MATLAB程序，解决01整数规划的DFP算法-MATLAB program to solve the DFP algorithm 01 Integer Programming
JSPGA
- 采用遗传算法解决车间调度问题，算法采用matlab实现。-Shop scheduling using genetic algorithms to solve the problem, algorithm matlab implementation.
bwban
- 数值分析的EULER法，使用大量的有限元法求解偏微分方程，使用matlab实现智能预测控制算法。- EULER numerical analysis method, Using a large number of finite element method to solve partial differential equations, Use matlab intelligent predictive control algorithm.
KNN
- KNN 算法实现二维平面内的两类样本点的分类。MATLAB-Using KNN to solve the problem of classifying two kinds of sample in the 2-D plane
遗传算法
- MATLAB实现遗传算法用于求解无约束问题的最优解。(Use genetic algorithm to solve the optimal solution)
genetic algorithm
- 多种群遗传算法，通过matlab编程，实现模拟生物进化的过程，对现实中的问题进行优化(Genetic algorithm to solve optimization problems)
BPwangluo2
- 利用MATLAB工具箱进行神经网络编程 解决TSP的最短路径问题(Using MATLAB Toolbox for Neural Network Programming Solve the shortest path problem of TSP)
chapter9
- 神经网络算法解决实际工程问题通过matlab实现(Neural network algorithm to solve practical engineering problems through matlab implementation)
genetic algorithm
- 遗传算法解微分方程，同时还包含了matlab中其他几种解微分方程的方法，如dsolve,ode45等。(Genetic algorithm to solve differential equations, but also contains several other methods to solve differential equations in MATLAB, such as dsolve, ode45 and so on.)
遗传算法
- 遗传算法解决TSP，采用matlab语言编程，利用遗传算法解决TSP问题。(The genetic algorithm solves the TSP, uses the MATLAB language programming, and uses the genetic algorithm to solve the TSP problem.)
yichuan1
- 用MATLAB和遗传算法求解问题的实例，计算函数的最值问题(The MATLAB and genetic algorithms are used to solve the problem, and the most valued problem of the function is calculated.)