搜索资源列表
SimuAPSO.rar
- 有基于模拟退火的粒子群算法优化求解无约束优化问题,Simulated annealing based on particle swarm optimization algorithm for solving unconstrained optimization problems
psoprogress.rar
- %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: solving with a variety of constr
Constrained_PSO_operator
- 带约束算子的粒子群算法,希望对大家的学习研究有所帮助。-Constrained PSO operator, we want to study and research help.
求解机械优化的Pareto多目标中心粒子群算法
- 摘要:针对基于权重法的多目标算法无法求解约束多目标问题的缺陷,将中心粒子群算法与Pareto 解集搜索算法相结合,提出 一种Pareto 多目标中心粒子群算法。将此方法用来优化气门弹簧的模型,实验结果表明,该优化方法能够快速准确地收敛于Pareto 解集,并且使其对应的目标域均匀地分布于Pareto最优目标域。
BreedPSO
- 基于杂交的粒子群算法求解无约束优化问题,主要是各粒子的位置和速度-Based on the hybrid particle swarm algorithm for unconstrained optimization problems, mainly the position and velocity of particles
outclpso
- 用于分析带约束问题的输出结果,加上约束的粒子群算法功能有很大改善-Used to analyze the problem with constraint output, coupled with constrained particle swarm optimization function has greatly improved
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 problem.
pso3
- 带交叉因子的改进粒子群优化算法,算法用于示解多维无约束优化问题,收敛性强。-With cross-factor improvement of particle swarm optimization algorithm for multi-dimensional solution that unconstrained optimization problem, convergence is strong.
CLSPSO
- 混沌的粒子群算法,求解无约束优化问题,可以保持个体多样性-Chaotic particle swarm algorithm for solving unconstrained optimization problems, can maintain the diversity of individual
SimuAPSO
- 基于模拟退火的粒子群算法,解决无约束优化问题-Based on simulated annealing particle swarm algorithm to solve unconstrained optimization problems
psoandimprovedpso
- 基本粒子群优化算法和改进粒子群优化算法程序,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,用混沌粒子群优化算法求解无约束优化问题,
MATLABoptimization
- matlab最优化程序包括 无约束一维极值问题 进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法 Goidstein法 Wolfe.Powell法 单纯形搜索法 Powell法 最速下降法 共轭梯度法 牛顿法 修正牛顿法 拟牛顿法 信赖域法 显式最速下降法, Rosen梯度投影法 罚函数法 外点罚函数法 內点罚函数法 混合罚函数法 乘子法 G-N法 修正G-N法 L-M法
SA
- 带约束算子的粒子群算法,用于matlab环境,对于搞研究的教师有很大帮助-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.
Solving_constrained_optimization_problems
- 求解约束优化问题的改进粒子群优化算法,希望对大家有所帮助。-Solving constrained optimization problems of improved particle swarm optimization, we want to help.
swarm
- 非线性约束优化问题的混合粒子群算法Nonlinear constrained optimization algorithm for hybrid particle swarm-Nonlinear constrained optimization algorithm for hybrid particle swarm
基于罚函数的粒子群算法
- MATLAB中解决约束问题的算法,罚函数的粒子群算法的精度高,速度快(The algorithm of solving constrained problems in MATLAB, the particle swarm algorithm with penalty function has high precision and fast speed)
CPSO
- 用粒子群算法处理带约束问题,处理约束条件使用的是罚函数法,代码中附有中文注释,txstA.txt文件是约束函数的系数组成的矩阵(Particle swarm algorithm is applied to deal with the constrained problem. The penalty function is applied to deal with the constraint condition. The code is accompanied by Chinese annota
第13章 粒子群优化算法
- 人工智能算法,求解最优化问题,求解约束无约束问题(Artificial intelligence algorithm to solve optimization problems)
粒子群算法演示1
- 用罚函数处理约束条件 基本的粒子群算法 求解了一个简单的算例(Using Penalty Function to Handle Constraints Basic Particle Swarm Optimization)
带罚函数的自适应粒子群算法.
- 含有约束方程 求最值所用的罚函数+粒子群优化算法(Penalty function + particle swarm optimization algorithm for using the constraint equation to find the maximum value)