搜索资源列表
mpso
- 求解带各种约束条件的优化问题,求一个函数的最大值-Solving with a variety of constraints optimization problem and seek a function of the maximum
multi
- 带等式约束的多目标遗传算法工具箱nondominated sorting genetic algorithmⅡ,NSGA-Ⅱ优化源代码-With equality constraint multi-objective genetic algorithm toolbox nondominated sorting genetic algorithm Ⅱ NSGA-II optimized source code
PSOPF_localization
- 带惩罚函数的约束粒子群优化问题,在无线传感器网络节点定位中的应用-With the penalty function bound particle swarm optimization problems in wireless sensor network node localization
APSO
- 带约束因子的粒子群算法在电力系统无功优化中的应用-Constrained factor PSO in Reactive Power Optimization
EM
- 用于求解带盒状约束的连续优化问题的类电磁机制算法(Electromagentism-like Mechanism Algorithm, EM),该算法最早由Erasmus University的Birbil S. Ilker等人提出,是一种非常新颖且有效的智能算法。-The code realizes Electromagentism-like Mechanism Algorithm which is for solving continuous optimization problem wit
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.
Ga-tsp
- 遗传算法tsp问题 针对题目中物流配送路径优化问题,本文引入0-1规划思想,建立了带约束条件的物流配送问题的数学模型。求解时,引入遗传算法的编码方式,并针对分区数与客户数量相差较小的情况,灵活运用分区配送算法确定包含最优解的分区序列组,紧密结合枚举法使得其算法兼顾简单、快速的优点。应用Matlab软件可执行得到最短路径。兼顾时间因素导致的复杂影响,我们引入了惩罚函数,并通过设定惩罚系数,进一步由最短路径求得最优路径。-Genetic algorithm tsp problem of logist
GA_CPOH
- 单目标优化遗传算法,决策变量有0-1变量,带约束,很好用。-Single objective genetic algorithm, with constraints, decision variables rounding
ant-colony-optimization-algorithm
- 建立了带约束条件的物流配送问题的数学模型,运用蚁群算法解决物流配送路径 优化问题,并将遗传算法的复制、交叉、变异等遗传算子引入蚁群算法,同时改进信息素的 更新方式、客户点选择策略,以提高算法的收敛速度和全局搜索能力。经过多次实验和计算 ,证明了用改进的蚁群算法优化物流配送线路,可以有效而快速地求得问题的最优解或近似最 优解。-A mathematical model with the constraints of logistics and distribution issues,
initpop
- 求matlab编的遗传算法源程序,用于求解带约束的优化问题。-Seeking matlab genetic algorithm source code for solving optimization problems with constraints.
microgrid_PSO
- 粒子群解决带约束的微网调度程序,能够解决微网优化问题-the particle swarm optimization for microgrid capacity scheduling
aoe
- 基于matlab的带传动多目标优化设计的目标函数文件和多目标优化设计的约束函数文件-Optimized design constraint file matlab function of belt drive multi-objective optimization design of the objective function and multi-objective-based file
NGPM_v1.4y
- GA多目标优化的程序 带约束 里面有教程-GA multi-objective optimization program with constraints there are tutorials
GA
- matlab 自带函数解决无约束优化问题-matlab GA function solve unconstrained optimization problems
YSPSO
- 一个很有用的带压缩因子粒子群算法的matlab程序,用于求解多维无约束优化问题。-A useful matlab code of particle swarm algorithm with compression factors, it can be used to solve the multidimensional unconstrained optimization problems.
MHE
- 基于matlab,实现滚动时域估计算法(MHE算法),将估计问题转化为优化问题,基于粒子群算法求解最优解,结合惩罚函数法来处理带约束的优化问题-Optimization based on matlab, realize moving horizon estimation (MHE algorithm), the estimation problem into an optimization problem solving the optimal solution based on particl
YSPSO
- 一种带压缩因子的pso算法,能够处理无约束优化问题。-With one kind of compression algorithm pso factor, able to handle unconstrained optimization problems
Direct
- 全局改进带约束direct 优化算法,可进行全局优化-direct optimization algorithm
3dtop
- 给出了约束因子的扩展模型、带约束因子变密度法的改进数学模型以及带约束因子变密度优化设计的求解过程和应用流程图,并用MATLAB程序实现该算法。通过一个算例计算给出了求解运算和数据分析结果,验证了该方法求解的可行性与有效性。(The extended model of constraint factors, the improved mathematical model of the constrained variable density method and the solving proce
13种PSO算法以及课件
- 各算法对应的问题如下: PSO 用基本粒子群算法求解无约束优化问题 YSPSO 用带压缩因子的粒子群算法求解无约束优化问题 LinWPSO 用线性递减权重粒子群优化算法求解无约束优化问题 SAPSO 用自适应权重粒子群优化算法求解无约束优化问题 RandWPSO 用随机权重粒子群优化算法求解无约束优化问题 LnCPSO 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 AsyLnCPSO 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