搜索资源列表
AdapGA
- AdapGA 用自适应遗传算法求解一维无约束优化问题 -AdapGA with adaptive genetic algorithm for one-dimensional unconstrained optimization problems
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
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
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
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
myGA
- 基本遗传算法求解一维无约束优化问题，采用轮盘赌策略。-Basic genetic algorithm for solving one-dimensional unconstrained optimization problem, using the roulette strategy.
Ga
- 遗传算法程序及实例 主要用来求解无约束优化问题，欢迎您的光临哦！请多多支持！-Procedures and examples of genetic algorithm for the typical numerical examples.I wish it helpful for you! Welcome to come here!
SQP-method
- SQP方法是求解约束优化问题最有效的算法之一-SQP method is one of the most effective algorithm for solving constrained optimization problems
Particle-Swarm-Optimization
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题；用基于模拟退火的粒子群优化算法求解无约束优化问题-Based on the cross with a genetic particle swarm optimization algorithm for solving unconstrained optimization problems using simulated annealing particle swarm optimiza
ABC
- 原始人工蜂群算法求解无约束优化问题,改进了原始算法获得了更好的优化性能-original artificial bee colony algorithm for solving unconstrained optimization problems，we modified this algorithm and obtain a better performance
差分进化
- 编写简单基本差分进化算法求解无约束优化问题，取得 了良好的优化效果
newton_lagrange
- 在matlab r2010a环境下编写的newton-lagrange算法，可以求解约束优化问题，程序返回目标函数值及拉格朗日乘子。-In matlab r2010a environment prepared newton-lagrange algorithms can solve constrained optimization problems, the program returns the value of the object
SecVibratPSO
- SecVibratPSO :用二阶振荡粒子群优化算法求解无约束优化问题-SecVibratPSO: optimization algorithm for solving unconstrained optimization problems with second-order oscillating particle swarm
CLSPSO
- CLSPSO：用混沌粒子群优化算法求解无约束优化问题-CLSPSO: Chaos particle swarm optimization algorithm for solving unconstrained optimization problems
MMAdapGA
- MMAdapGA:用多变异位自适应遗传优化求解一维无约束优化问题-MMAdapGA: with changeable ectopic adaptive genetic optimization solution of one-dimensional unconstrained optimization problems
myGA
- myGA:用基本遗传算法求解一维无约束优化问题-myGA: basic genetic algorithm with the one-dimensional unconstrained optimization problems
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 with genetic algorithms for solving one-dimensional fitness unconstrained optimization problems
PSOBP502
- Parsopoulos等采用罚函数法，利用非固定多段映射函数对约束优化问题进行转化，再利用PSO算法求解转化后问题，仿真结果显示PSO算法相对遗传算法更具有优越性，但其罚函数的设计过于复杂，不利于求解；Hu等采用可行解保留政策处理约束，即一方面更新存储中所有粒子时仅保留可行解，另一方面在初始化阶段所有粒子均从可行解空间取值，然而初始可行解空间对于许多问题是很难确定的；Ray等提出了具有多层信息共享策略的粒子群原理来处理约束，根据约束矩阵
Matlabrule
- 用matlab编程求解无约束优化问题、线性规划问题即在一组线性不等式或等式组的约束条件下求某个线性函数的最值问题-Matlab programming for solving unconstrained optimization problems, linear programming problems that most value problem for a linear function under the constraints
PSO-cross
- 改进粒子群算法，带交叉因子，求解多维无约束优化问题，收敛性强。-PSO algorithm with cross operation.