搜索资源列表
LinWPSO
- 用线性递减权重粒子群优化算法求解无约束优化问题,希望对大家有帮助！-With a linear gradient weight of particle swarm optimization algorithm for solving unconstrained optimization problems, I hope it can help you!
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
mymopso
- 用多目标粒子群优化来求解多目标优化问题，该方法可求解各种多目标问题。程序内包含多种测试函数，和适应度函数求解程序及目标函数和约束函数的具体程序说明。-Multi-objective particle swarm optimization to solve the multi-objective optimization problem which can be solved a variety of multi-objective problem. Specific procedures wit
pso
- matlab粒子群算法和遗传算法是解决约束优化问题，无约束优化问题和多目标优化问题的优化算法-PSO and GA are good optimizational algorithms
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-Optimization algorithm uses asynchronous learning factor PSO change unconstrained optimization problems
LinWPSO
- 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-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems
SelPSO
- 用基于选择的粒子群优化算法求解无约束优化问题-With selection based on PSO algorithm for solving constrained optimization problems
SimuAPSO
- 用基于模拟退火的粒子群优化算法求解无约束优化问题-With optimization algorithm based on simulated annealing Particle Swarm unconstrained optimization problems
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-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems
RandWPSO
- 用随机权重粒子群优化算法求解无约束优化问题-Heavy Particle Swarm Optimization with Random Weight unconstrained optimization problems
weiliqun
- 粒子群优化算法，可实现基本粒子群无约束优化。-Particle Swarm Optimization (PSO), which can realize basic particle swarm unconstrained optimization.
liziqun
- 基于matlab的粒子群优化算法，可解一次无约束一次方程-Particle swarm optimization algorithm
Particle_Swarm_Optimization
- 粒子群优化解决实际问题的方法，带有约束条件的，供大家参考学习-Particle Swarm Optimization to solve practical problems, with constraints, for your reference study
PSOt
- 对于约束优化问题，大多数算法都基于梯度的概念，要求目标函数和约束条件可微，而且一般只 能求得局部最优解’ 粒子群优化算法（@DMLEP&H 6VDMS .RLESDTEL F，简称 @6.） ［ ，)］ ，由于其具有容易理 解、易于实现、不要求目标函数和约束条件可微，并能以较大概率求得全局最优解的特点，目前已在 许多优化问题中得到成功应用-For constrained optimization problems, most algorithms are based on the
uncondition
- 无约束条件下粒子群搜索最优解的主程序代码，以及进行调试的各子程序(Unconstrained optimization of particle swarm optimization of the main program code, as well as debugging the subroutine)
PSO-1
- 粒子群算法，包括主函数，目标函数，约束条件等。可用于多目标函数的处理。(Particle swarm optimization algorithm, including the main function, objective function, constraints and so on. Can be used to deal with multiple objective functions.)
简单PSO
- pso算法的改进与优化，即对粒子群算法惯性权重w与学习因子参数的约束。(pso algorithm is improved and optimized, that is, the constraints of the inertial weight w and the learning factor parameters of the particle swarm algorithm.)
RandWPSO
- 随机权重粒子群算法，解决无约束问题，入门级别。粒子群算法结构简单，易于实现，非常经典。(random weight particle swarm optimization for unconstrained problems)
psopt
- 一种粒子群算法，可以优化具有线性约束、非线性约束、等式约束、有界约束的问题，使用方法与MATLAB自带的GA算法类似（搬运）(A particle swarm optimization algorithm can optimize the problems with linear constraints, nonlinear constraints, equality constraints and bounded constraints. The method is similar to th
PSO
- 标准的粒子群算法程序代码，相对简洁，求解二维的带约束优化问题(Newton method for solving linear constrained problems)