Description: 利用PSO算法解决经济批量分发问题的matlab源代码，求解多目标函数与成本最小值。-Use PSO algorithm to solve economic volume distribution of the matlab source code for solving multi-objective cost function and the minimum value. Platform: |
Size: 38912 |
Author:楚湘华 |
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Description: pso算法，比较好的算法，简单，可以用于多目标优化-pso algorithm, a better algorithm, simple and can be used for multi-objective optimization Platform: |
Size: 7168 |
Author:万 |
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Description: pso解决两目标函数极值问题，适合初学多目标的同学-Pso solve two goals for beginners, the function extreme problem multi-objective classmates Platform: |
Size: 3072 |
Author:xianglongyang |
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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: 利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization of simulation results. Platform: |
Size: 223232 |
Author:durongmao |
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Description:
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ypea121-mopso
Multi-Objective PSO in MATLAB
in Multiobjective Optimization 8 Comments 2,599 Views
Multi-Objective Particle Swarm Optimization (MOPSO) is proposed by Coello Coello et al., in 2004. It is a multi-objective version of PSO which incorporates the Pareto Envelope and grid making technique.-
Home
Metaheuristics
Machine Learning
Multiobjective Optimization
Fuzzy Systems
Applications
Home \ Multiobjective Optimization \ Multi-Objective PSO in MATLAB
ypea121-mopso
Multi-Objective PSO in MATLAB
in Multiobjective Optimization 8 Comments 2,599 Views
Multi-Objective Particle Swarm Optimization (MOPSO) is proposed by Coello Coello et al., in 2004. It is a multi-objective version of PSO which incorporates the Pareto Envelope and grid making technique. Platform: |
Size: 11264 |
Author:ankita |
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Description: 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 of the various micro-source conditions and micro-grid electric power balance constraints, the establishment of a multi-objective function. To a typical micro-grid running instance As an example, the use of particle swarm optimization strategy and simulation in MATLABLAB environment,micro-source output for microgrid actual environmental economic dispatch .) Platform: |
Size: 7997440 |
Author:玉娇on1
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