搜索资源列表
ZW
- 约束优化进化算法，采用多目标优化算法的思想求解约束优化问题-constrained optimization evolutionary algorithms
genetic-algorithm
- 用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 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 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 -The basic genetic algorithm with one-dimensional seque
parallel-asynchronous-pso_05
- 包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题-Include: usi
NormFitGA
- NormFitGA(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 of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization problems)
wolfe
- 求解无约束优化问题 wolfe线性搜索代码-Wolfe line search for unconstrained optimization
Newton
- 数值计算中求解最优化问题时 针对无约束优化问题的牛顿法求解算法代码-Solving numerical optimization problems in the unconstrained optimization problem for the Newton algorithm code
pos-algorithm-with-cross-factor
- 带交叉因子的改进PSO算法，功能：求解多维无约束优化问题，特点：收敛性强，还可以加入变异算子-With cross-factor improved PSO algorithm, function: solving multi-dimensional unconstrained optimization problems, characterized by: strong convergence, mutation operator ca
trust_region
- trust_region求解约束优化问题 This trust region algorithm incorporates bound constraintstogether with an ellipsoidal trust region- This trust region algorithm incorporates bound constraintstogether with an ellipsoidal trust regio
dampnm
- 阻尼牛顿法求解无约束优化问题，阻尼牛顿发求解无约束优化问题-Damped Newton method for solving unconstrained optimization problems
grad
- 最速下降法，用最速下将法求解无约束优化问题的matlab程序。-Steepest descent method, with the most under-speed method for solving unconstrained optimization problems matlab program.
SQPM
- 用基于拉格朗日函数Hesse阵的SQP方法求解约束优化问题-Hesse matrix based on Lagrange function with the SQP method for solving constrained optimization problems
NEWTLAGR
- 功能: 用牛顿-拉格朗日法求解约束优化问题-Function: Newton- Lagrangian method for solving constrained optimization problems
LAGSQP
- 功能: 用基于拉格朗日函数Hesse阵的SQP方法求解约束优化问题:-Function: Hesse matrix based on Lagrangian SQP method for solving constrained optimization problems:
Outside-the-penalty-function-method
- 外点罚函数方法，可以用来求解约束优化问题，也可以用来被调用在智能算法中-Point outside the penalty function can be used for solving constrained optimization problems, can also be used in intelligent algorithm called
erjiezhui
- 二阶锥均衡约束优化问题在工业工程,机器人研制以及连续逆优化等领域有着广泛的应用.本论文首先研究二阶锥互补集合的变分性质,基于这些性质研究二阶锥均衡约束优化问题的最优化性条件、二阶锥互补集合的Aubin性质以及线性规划与线性二阶锥规划逆问题的求解,其主要结果可概括如下： 1.第2章基于变分分析的经典理论,研究了二阶锥互补集合的变分性质,包括二阶锥互补集合切锥与法锥的计算公式以及二阶锥法锥映射coderivative的计算表达式,这些结果为
myGA
- 用基本遗传算法求解一维无约束的优化问题。-The basic genetic algorithm with a one-dimensional unconstrained optimization problem
lagsqp
- 用基于拉格朗日函数Hesse矩阵的SQP方法求解约束优化问题-matlab: SQP based on modification Hesse matrix
qpsubp
- 一般约束优化问题的二次规划子问题求解算法程序-general optimal problem(including equ and nonequ constrains: SQP algorithm
Penalty-Function-Method
- 解优化问题时常用的惩罚函数法，分为内点法和外点法两种，求解约束优化问题最优值。-Penalty function method, including interior point method and exterior point method, to solve the optimal value of constrained optimization problems.
improved-particle-swarm-algorithm
- 6种求解无约束优化问题的改进的粒子群算法，matlab编程。-Six kinds of solving unconstrained optimization problems improved particle swarm algorithm, matlab programming.