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Description: 一、源码特点
Pareto图表控件是一个条形图和线图的组合
二、功能介绍
Pareto图表控件是一个条形图和线图的组合，在Pareto图轴我们将绘制数据名称，在离开y轴我们将按照频率和数据在右边y轴我们将绘制数据累积频率百分比。用Pareto以图形的方式总结和显示之间的差异的相对重要性的数据。-First, the source code
The Pareto chart control is a combination of a bar graph and a line graph.
Two, function introduction
Pareto chart control is a combination of bar and line drawings, we will draw the data name on the Pareto axis, we will leave the Y axis and we will be in accordance with the frequency and data on the right side of the Y axis we will draw a percentage of the cumulative frequency of data. Data with the relative importance of the difference between the sum of the Pareto in the graphics and display.
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Author: xxpudn96 |
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Description: 多目标标准测试函数，可用来测试多目标算法的效果，并实现可视化帕累托前沿-Multi-objective standard test functions can be used to test the effects of multi-objective algorithm and visualize the Pareto frontier
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Author: 苏小溪 |
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Description: 基于非支配选择的遗传算法（NSGA-II），可用于求解多目标问题，并给出给定数目的帕累托前沿-Based on the non-dominant selection genetic algorithm (NSGA-II), can be used to solve the multi-objective questions and a given number of Pareto frontier
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Author: 苏小溪 |
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Description: Strength Pareto Evaluation Algorithm II (SPEA2), a multi-objetive genetic algorithm.
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Author: Ali |
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Description: Pareto Envelope-based Selection Algorithm II (PESA 2), a multi-objective genetic algorithm.
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Size: 21504 |
Author: Ali |
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Description:
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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.-
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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.
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Author: ankita |
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Description: 双目标遗传算法 程序包含 交叉 变异 迁移 解码 编码 选择 以及pareto最优解 可以运行-Dual objective genetic algorithm program includes crossover and mutation migration decoding and encoding options and pareto optimal solution can run
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Author: mr feng |
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Description: Pareto Front Calculation_MATLAB software modified By Vikram Kumar Kamboj
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Size: 5120 |
Author: vikram kumar |
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Description: 多目标遗传算法，求得pareto最优解集，可以用于各种工程的数学计算-Multi-objective genetic algorithm, pareto optimal solution set is obtained, can be used for a variety of engineering mathematics
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Author: 陈乐 |
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Description: 在open shop情形下，采用遗传算法生成最优调度方案，所得Pareto解释最优的。-In the case of open shop using genetic algorithm to generate the optimal scheduling scheme, the resulting interpretation Pareto optimal.
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Author: 顾强强 |
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Description: pareto 随机数生成器，构造服从pareto分布的随机数-pareto distribution generator
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Author: xyh |
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Description: 多目标整数规划的遗传算法NSGA-IImatlab源代码，主程序、初始化、计算适应度、排序、选择、交叉变异、重组，最后得到Pareto前言。可以跑通，下载即用，具体方法介绍博客上文章上都有。-Multi-objective integer programming genetic algorithm NSGA-IImatlab source code, the main program, initialization, calculate fitness, sorting, selection, crossover and mutation, recombination, and finally get Pareto foreword. You can run through, downloading, using the specific method described has an article on the blog.
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Author: hanhe |
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Description: PESA2算法利用遗传算法的机理和基于pareto包络选择，从外部存储选择父本母本及突变体。-Mechanism PESA2 algorithm based on genetic algorithms and pareto envelope choice, choose male and female mutants the external storage.
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Author: wcyy |
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Description: WPF第三方DynamicDataDisplay组件的一个Sample。-
Sample WPF DynamicDataDisplay a third-party components.
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Author: 吟留别 |
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Description: NSGA2主要是对NSGA算法的改进。NSGA是N. Srinivas 和 K. Deb在1995年发表的一篇名为《Multiobjective function optimization using nondominated sorting genetic algorithms》的论文中提出的。该算法在快速找到Pareto前沿和保持种群多样性方面都有很好的效果-Multiobjective function optimization using nondominated sorting genetic algorithms
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Author: 和浩一 |
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Description: 这段代码描述多目标遗传算法NSGAII算法的实现，抓要包含三部分：Non-dominated sort， Crowding distance assignment， the selection process来找到pareto-front-The basic operations being performed and the worst case complexities associated with are as follows:
Multi-objective evolutionary algorithms which uses non-dominated sorting to find pareto front. It is consist of tree parts:
• Non-dominated sort returns a list of the non-dominated fronts F. (O(mN 2 ))
• Crowding distance assignment is O(mNlogN)
• The crowed comparison operator (Sort on ≥ n) guides the selection process at the various stages of the algorithm towards a uniformly spread out Pareto-optimal front. (O(2Nlog(2N)))
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Author: 罗佳婷 |
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Description: 压缩包内MATLAB程序演示多目标perota优化问题，从种群初始化，种群更新，更新个体最优粒子，非劣解筛选进行编程，最后给出了仿真结果，由图可知，算法搜索到的非劣解构成了Pareto面，算法搜索取得了很好的效果，谢谢 希望对大家有帮助。-Compressed package MATLAB program demonstrates perota multi-objective optimization problem, populations initialization, population update, update personal best particle filter Pareto programming. Finally, the simulation results, the figure shows the algorithm to search for Pareto constitute the Pareto surface, the search algorithm has achieved good results, thank you and I hope to help.
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Author: wangxin |
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Description: 基于pareto进化的算法的遗传算法，差分进化算法源程序-pareto Differential Evolution Algorithm
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Author: xyz |
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Description: matlab改进的序列二次规范法求解多目标函数的最优值问题，能够求出pareto解集-Matlab improved sequence of two times the standard method to solve the multi-objective function of the optimal value problem, can find the Pareto solution set
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Author: 张海强 |
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Description: 提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局
部搜索能力的 Pareto 最优解的搜索机制、删除品质差的多余粒子的 Archive 集的修剪技术。通过对三峡梯级多目标优化调度问题的计算，
表明该算法是求解大规模复杂多目标优化问题的一种有效手段。-A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed algorithms employs three techniques: adaptive
grid algorithms, which can obtain the valid density value of particles in Archive set Pareto optimal solution searching algorithm, which can equalize
the ability of global and local searching Archive pruning techniques, which can remove inferior particles in Archive set to fix the size of Archive set.
The algorithm is applied to solve multi-objective optimal regulation of Three Gorges. The simulation performance indicates the effectiveness of the
presented algorithm with regard to solving the large scale complex multi-objective optimization problem.
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Author: 王鑫业 |
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