搜索资源列表
psopt20100414
- 粒子群算法的matab程序 可以求解带非线性约束的优化问题-a pso code which can slove optimization problems with nonlinear constraints.
logisticsuanfa
- 多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题-Compared
PSO
- pso 的实现 应用了c#进行编程 还含有带约束的MATLAB的pso-pso implementation of the application of c# programming with constraints also contains MATLAB-pso
PSO-CODEQ-function1
- 利用PSO算法用Excel下的VBA程序调试的一个带多个约束条件的VBA代码。-PSO algorithm in Excel using VBA program under a debugger with multiple constraints VBA code.
PSO-CODEQ-function3
- 利用PSO算法用Excel下的VBA程序调试的一个带多个约束条件的VBA代码。-PSO algorithm in Excel using VBA program under a debugger with multiple constraints VBA code.
pso_main
- matlab算法实现带约束条件的粒子群算法（pso），内含详细注释。-Matlab algorithm with constraints on particle swarm optimization (pso), contains detailed notes.
pso-constraints-multi
- 多目标粒子群算法，最优的解决方案，使用一个外部文件管理，拥塞机制筛选，灰色设计验过滤。-Multi-objective particle swarm algorithm, the optimal solution using an external file management, congestion mechanism screening, gray design posteriori filtering.
minpso
- 无约束条件的粒子群优化算法代码，简单实用！-No constraints PSO algorithm code, simple and practical!
Another-Particle-Swarm-Toolbox
- 粒子群优化工具箱，采用Matlab编写的PSO程序工具箱-Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance impro
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，根据约束矩阵采用多层Pareto排序机制来产生优良粒子，进而用一些优良的
Quantum--(pso)-algorithm
- 针对单级多资源约束生产批量计划问题,提出了基于量子粒子群算法求解该问题的方法。此算法将量子强大的领域搜索能力和基本粒子群算法(PSO)通过跟踪极值更新粒子的功能-On a single stage production lot-sizing problem of resource constraints, based on quantum particle swarm algorithm is proposed to solve the problem.The algorithm to the
PSO-noncon
- 粒子群算法，可以计算含非线性不等式约束和等式约束的优化问题。-PSO algorithm can be calculated with nonlinear inequality constrained optimization problems and equality constraints.
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.)
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
improve PSO
- 近年来，一些学者将PSO算法推广到约束优化问题，其关键在于如何处理好约束，即解的可行性。如果约束处理的不好，其优化的结果往往会出现不能够收敛和结果是空集的状况。(In recent years, some scholars have extended the PSO algorithm to the constrained optimization problem, and the key is how to deal with the constraints, that is, the fea
pso
- 在微电网中综合考虑经济和环境两个目标，以各微源的运行上下限为约束条件，采用粒子群算法在matlab环境下进行了仿真，最后给出了微网各微源的最优机组组合方式和最佳电能交易计划。(The first establish micro multi-objective energy optimal operation model, taking into account both environmental and economic factors in the model, the operation
PsoConstrained
- 带有约束的PSO算法实例，，，，，，，，，，，，，，，，(An example of PSO algorithm with constraints)
PSO_yueshu
- 带有不等式/等式约束的加速粒子群算法（apso），主要通过罚函数来进行约束，速度较快，可处理带约束问题(Accelerated particle swarm optimization (APSO) with inequality / equality constraints, which is mainly constrained by penalty function, is fast and can deal with constrained problems)
PSO_byself.m
- 粒子群算法求解约束多目标优化万能matlab代码。本代码是基于有约束条件的寻优问题，采用APSO可以加快寻优的速度，修改参数比较简单，目标函数和上下限根据自身的需要进行改动，，可以实现目标函数的寻优(Particle swarm algorithm for solving constrained multi-objective optimization universal matlab code. This code is based on the optimization problem wi