搜索资源列表
外点惩罚函数法－调试通过
- 求解n维具有不等式约束优化问题的最优解-solving n-dimensional inequality constrained optimization with the optimal solution
优化设计
- 常规优化算法程序库，处理各种有约束和无约束优化问题-conventional optimization algorithm library, to deal with binding and non-constrained optimization problem
GA-VC
- 遗传算法优化源码，可以做约束优化问题或者是无约束优化问题的求解-Source of genetic algorithm optimization, constrained optimization problems can make or unconstrained optimization problem solving
constrainpso
- 求解约束优化问题的改进粒子群优化算法，对粒子群优化算法用于约束优化问题具有参考价值-For solving constrained optimization problems to improve particle swarm optimization algorithm, particle swarm optimization algorithm for constrained optimization problems for th
PSO_constrian
- PSO算法求解带约束优化问题，包含所有源程序和运算图片。写论文是编的。-PSO algorithm for solving constrained optimization problems, including all source code and the computing picture. Writing papers is made of.
psoprogress
- ％程序名称：求解约束优化问题的改进粒子群优化算法 ％程序功能：求解带各种约束条件的优化问题 ％输入条件：各种初始条件，以及设定参数 ％输出数值：最优解位置以及函数极小值 - Program name: for solving constrained optimization problems to improve particle swarm optimization algorithm program features
MATLAB
- 求解约束极小值问题的函数fmincon，fmincon是求解多维约束优化问题的优化工具箱函数-Problem solving constrained minimum function fmincon, fmincon is a multi-dimensional constrained optimization problems for solving the optimization toolbox function
Unconstrained_optimization
- 压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数-Compression bag
One-dimensional_search_method
- 无约束优化问题一维搜索的常用方法：黄金分割法（golden_section.m）、加步搜索法（plus_step_search.m）、牛顿法（newton.m）、抛物线法（parabola.m）-Unconstrained optimization problem of one-dimensional search of the commonly used methods: Golden Section (golden_section.
7941925pos
- 粒子群的优化算法，不仅可以方便地解决无约束优化问题，也可以方便的解决有约束的非线性优化问题。-Particle Swarm Optimization algorithm, not only can easily solve the unconstrained optimization problem can also be convenient to solve constrained nonlinear optimization pr
c
- 罚函数方法是求解约束（极小）优化问题的一类较好的算法。其基本思想：根据约束的特点构造某种惩罚函数，并把惩罚函数添加到目标函数上去，从而得到一个增广目标函数，使约束优化问题的求解转化为一系列无约束极小优化问题的求解。-Penalty function method for solving constrained (minimum) optimization problem of a class of better algorithms.
constrainpso
- 一个解决约束优化问题的算法,但是对一个测试函数无法达到全局最优.希望能加以改进并应用。-A solution algorithm for constrained optimization problems, but a test function can not reach the global optimum. Would like to be improved and applied.
DGPSO
- 用于求解约束优化问题的算法，算法为差分进化/遗传算法/微粒群算法的融合。对于“[7] T. P. Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Trans. Evol. Comput., vol. 4, no. 3, pp. 284-294, Sep. 2000”中给出的13个标准测试函数，均能得到问题最优
yc
- 基于matlab的约束优化问题的遗传算法求解-Matlab-based constrained optimization problems of the genetic algorithm
优化算法
- 解决了最小无约束优化问题 步长由ARmijo非精确一维搜索生成，迭代方向分别由最速下降法，阻尼牛顿法，共轭梯度法，拟牛顿法(BFGS)产生(This code solves the minimum unconstrained optimization problem, and the step size is generated by ARmijo inexact one-dimensional search. The iterat
无约束优化问题
- 包括几种常用的无约束优化算法，比如最速下降法、BFGS算法、共轭梯度法等等(Including unconstrained optimization algorithms in common use)
增广拉格朗日
- 常用的解决不等式约束优化问题的放法，增广拉格朗日方法等(The commonly used method of solving inequality constrained optimization problems, augmented Lagrange method and so on)
约束非线性优化问题求解
- 最优化 ，matlab, 约束非线性优化问题求解，约束非线性优化问题(Constrained nonlinear optimization problem)
ni_niu_dun_fa
- 基于拟牛顿法解决无约束优化问题的Python代码(Python code for unconstrained optimization based on quasi-Newton method)
NSGAII-有约束限制的优化问题
- 基于NSGA-II的有约束限制的优化问题实例matlab编程代码(Matlab programming code based on nsga-ii constrained optimization problem)