搜索资源列表
mop_5_27_modified_a
- 用改进蚁群算法求解一类连续空间优化问题的matlab实现-improved ant colony algorithm for solving a class of continuous space optimization problems achieving Matlab
SUMT
- 内点惩罚函数法程序，可以以求解含不等式的多目标优化设计问题。
pipe
- 这可是全球著名IT公司ILog的APS高级排产优化引擎，就连SAP、Oracle等ERP中的物料需求计划与生产计划算法都来源于ILog。我研究了好久，中间的性线求解算法可真谓难呀。
XAmicableNum
- 相亲数和亲和数的快速并行求解算法 intel 多线程优化大赛参赛作品-Blind date a few and the pro-and several fast parallel algorithm optimization of multi-threading intel Competition entries
a
- 求解一些数学中最常见遇到的非线性最优化的模型，比如信号灯的优化配时问题求解等等。-conclusions
DelphiAlgorithm
- 常用的算法代码，delphi实现，包括了方程求解，插值，优化，特征值等-Algorithm commonly used code, delphi achieve, including the equation, interpolation, optimization, eigenvalue, etc.
minRb
- 多维参数优化求解算法，经测试可运行，有兴趣的朋友可以试试。-Multi-dimensional parameter optimization algorithm, have been tested to run, friends who are interested can try.
AD
- 简单的插值优化算法，用于简单的优化，求解最优值-A simple interpolation optimization algorithm for a simple optimization
optimization
- 阻尼算法实现优化，主要是针对线性方程组求解超定方程的一种算法。大家可以试试。-Damping algorithm to realize optimization
NormFitGA
- NormFitGA 用动态线性标定适应值的遗传算法求解一维无约束优化问题 -NormFitGA dynamic linear calibration to adapt to the value of the genetic algorithm for solving one-dimensional unconstrained optimization problems
SBOGA
- SBOGA 用顺序选择遗传算法求解一维无约束优化问题 -SBOGA order to select genetic algorithm for solving one-dimensional unconstrained optimization problems
GMGA
- GMGA 用大变异遗传算法求解一维无约束优化问题 -GMGA large variation genetic algorithm to solve the one-dimensional unconstrained optimization problem
DblGEGA
- DblGEGA 用双切点遗传优化求解一维无约束优化问题 -DblGEGA with double tangent point genetic optimization one-dimensional unconstrained optimization problems
GA8746
- 多目标规划优化问题 Matlab中常用于求解多目标达到问题的函数为fgoalattain-Multi-objective planning optimization problem Matlab is commonly used to achieve problem solving multi-objective function fgoalattain
pso61wtl
- 粒子群算法用于优化求解函数最小值，此算法收敛速度快，很快找到最小值。-Particle Swarm Optimization (PSO) is used to optimize the minimum value of the function. The algorithm converges quickly and finds the minimum value.
yichuan
- 基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver
粒子群算法的寻优算法-非线性函数极值寻优
- 使用粒子群优化算法实现函数最优值的求解，并对参数进行优化。(The particle swarm optimization algorithm is used to solve the optimal value of the function, and the parameters are optimized.)
main
- 采用多目标粒子群算法求解多目标背包问题 问题：假设存在五类物品，每类物品又包含四种具体物品，要求从五类物品中分别选择一种放入背包，使得背包总价值最大，总体积最小，总质量不超过92kg(The problem is solved by multi objective particle swarm optimization algorithm, multi-objective knapsack problem: suppose there are five categories of goods,
基于遗传算法的多目标优化
- Matlab源码，通过非支配排序NASA-II,实现通过遗传算法求解多目标优化。
MEIGA
- EGO算法的实现，采用遗传算法及kriging代理模型，进行经典案例的实现优化求解(EGO optimization GA optimization kriging surrogate models good examples)