Description: 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 with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle Platform: |
Size: 1024 |
Author:杨科 |
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Description: 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 Platform: |
Size: 393216 |
Author:季晨 |
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Description: 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. Platform: |
Size: 40960 |
Author:登登 |
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Description: 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. Platform: |
Size: 25600 |
Author:登登 |
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Description: 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，进而用一些优良的粒子来决定其余个体的搜索方向。
-Parsopoulos etc. penalty function method, the use of non-fixed multi-stage mapping function constrained optimization problem for transformation, reuse PSO algorithm for solving the problem after the conversion, the simulation results show that the relative genetic algorithm PSO algorithm has more advantages, but its design is too complicated penalty function is not conducive to solving Hu retention policies such as the use of feasible solutions processing constraints, on the one hand to retain only feasible solution when updating the store all particles, on the other hand all the particles are in the initialization phase values from the feasible solution space, however, the initial feasible solution space For many the problem is difficult to determine Ray and put forward the principle of a multi-layer particle swarm information sharing strategies to deal with constraints, according to the constraint matrix using multi Pareto superior sorting mechanism to generate partic Platform: |
Size: 2048 |
Author:朱坤鸿 |
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Description: 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.) Platform: |
Size: 4096 |
Author:hudequanofficial
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Description: 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 the GA algorithm of MATLAB) Platform: |
Size: 25600 |
Author:121ll
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Description: 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 feasibility of the solution. If the constraint is not good, the optimization results are often not able to convergence and the results is empty of) Platform: |
Size: 22528 |
Author:莱昂纳德
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Description: 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) Platform: |
Size: 1024 |
Author:Ricardo1 |
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Description: 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 with constraints. Using APSO can speed up the optimization process. It is relatively simple to modify the parameters. The objective function and the upper and lower limits are changed according to their own needs. The optimization of the objective function can be achieved.) Platform: |
Size: 2048 |
Author:银河系苏小青 |
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Search - pso with constraints