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Description: 为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度-For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation
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Author: cekong |
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Description: 现有的PID参数优化方法往往难以同时兼顾系统对快速性、稳定性与鲁棒性的要求，本文针对这一缺陷，提出了一种多目标PID优化设计方法——在满足系统的鲁棒性的前提下，以超调量、上升时间和调整时间最小作为多目标优化的子目标，并将NSGA-Ⅱ与PGA相结合对其求解。该算法求得的Pareto最优解分布均匀，收敛性和鲁棒性好，决策者可根据实际系统的要求在Pareto解集中选择最终的满意解，这为快速性、稳定性与鲁棒性的权衡分析提供了有效的工具。仿真结果表明本文设计方法的有效性和优越性。
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Author: zzh |
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Description: 遗传算法在曲线多边形近似中的应用
在平面数字曲线的多边形近似中, 为克服顶点的检测只依靠局部区域、缺乏全局信息的弱点, 文中把多边
形近似问题作为寻找在满足一定的近似误差条件下使顶点数最少、或者使顶点数和近似误差都尽可能少的最优化
问题来处理. 为了能够处理点数较多的曲线, 文中采用遗传算法和基于Pareto 最优解的改进遗传算法来求近似最
优解. 和一些经典算法的实验比较表明, 文中算法与只依靠曲线局部特性的一类算法相比, 在近似的保真性和效率
上有明显的改进, 同时又比准确寻优一类的算法如动态规划等有大幅度的时间节省.
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Author: 馨竹 |
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Description: 遗传算法中的NSGA2算法实现，解决多目标遗传算法求解Pareto近似解，具有很好的运行效果-Genetic Algorithms NSGA2 algorithm to solve multi-objective Pareto genetic algorithm approximate solution, with very good operating results
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Author: 郭玉华 |
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Description: To get the Pareto set from a given set of points
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Size: 1024 |
Author: ym |
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Description: 摘
由于演化算法求解多目标优化问题所得结果是一个优化解集———Pareto最优集,而现有的演化算法收
敛性分析只适合针对单目标优化问题的单个最优解。利用有限马尔科夫链给出了演化算法求解多目标优化问
题的收敛性分析框架,并给出了一个分析实例
-Pick as a result of evolutionary algorithm for solving multi-objective optimization problem the result is an optimized solution set--- Pareto optimal set, and the existing evolutionary algorithm convergence analysis is only suitable for single-objective optimization problem of a single optimal solution. Use of limited Markov chain are given multi-objective evolutionary algorithm for solving optimization problems Convergence analysis framework, and gives an analysis of examples
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Size: 15360 |
Author: fujia |
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Description: 摘
由于演化算法求解多目标优化问题所得结果是一个优化解集———Pareto最优集,而现有的演化算法收
敛性分析只适合针对单目标优化问题的单个最优解。利用有限马尔科夫链给出了演化算法求解多目标优化问
题的收敛性分析框架,并给出了一个分析实例
-Pick as a result of evolutionary algorithm for solving multi-objective optimization problem the result is an optimized solution set--- Pareto optimal set, and the existing evolutionary algorithm convergence analysis is only suitable for single-objective optimization problem of a single optimal solution. Use of limited Markov chain are given multi-objective evolutionary algorithm for solving optimization problems Convergence analysis framework, and gives an analysis of examples
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Size: 52224 |
Author: fujia |
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Description: ％ A point X* is said to be Pareto optimal one
％ if there is no X such that Fi(X)<=Fi(X*) for
％ all i=1...n, with at least one strict inequality.- A point X* is said to be Pareto optimal one if there is no X such that Fi (X) <= Fi (X*) for all i = 1 ... n, with at least one strict inequality.
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Size: 2048 |
Author: 何冰 |
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Description: Genetic algorithm for multi objective code with C++.This GAs uses the Pareto method.
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Size: 55296 |
Author: zizou |
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Description: pareto front multi objective optimization
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Size: 5120 |
Author: Pezhman |
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Description: 基于NSGA-Ⅱ算法的区域覆盖卫星星座优化将一种基于Pareto最优概念的快速非支配排序遗传算法(NSGA-Ⅱ)引入区域覆盖侦察卫星星座的多目标优化设计-Algorithm based on NSGA-Ⅱ regional coverage satellite constellation will be based on the concept of Pareto optimal fast non-dominated sorting genetic algorithm (NSGA-Ⅱ) the introduction of regional coverage reconnaissance satellite constellation design of multi-objective optimization
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Author: 刘欣 |
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Description: 基于群体搜索的遗传算法求解多目标优化问题具有独特的优势,多目标优化算法已有的研究大多为
算法的设计和数值实验效果的比较,理论研究则很少,本文作者给出了一种求解多目标优化问题的新遗传算法
(RMOGA) ,并用Markov 链的理论对RMOGA 的收敛性进行了研究,其结果表明RMOGA 依概率收敛到问题的
Pareto 前沿面-Population-based genetic algorithm search for multi-objective optimization problem has unique advantages, multi-objective optimization algorithm Yiyou of mostly numerical algorithm design and comparison of experimental results and theoretical studies are few, given for solving this author The new Multi-objective Genetic Algorithm Optimization Problems (RMOGA), and use Markov chain theory RMOGA the convergence of the studies, the results show that the convergence in probability to RMOGA problem Pareto frontier
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Author: hello |
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Description:
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Size: 15360 |
Author: 曹哥 |
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Description: Pareto进化存档算法PAES的C++源代码-Pareto Archived Evolutionary Algorithm Source Code
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Size: 460800 |
Author: AlexSun |
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Description: It s a neural network decisor for Pareto set based in cross-correlation between a specific noise model and sucessive aproximation errors of the neural network that generates each solution of Pareto set.
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Size: 1024 |
Author: Paulo |
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Description: A Multi-Objective Pareto-Optimal Genetic Algorithm for QoS Multicasting
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Size: 1722368 |
Author: lizhi |
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Description: SPEA2 Improving the Strength Pareto Evolutionary Algorithm
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Size: 210944 |
Author: Xantipo74 |
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Description: it is about ga pareto
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Size: 2048 |
Author: hossein |
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Description: 遗传算法的多目标优化算例，动态显示优化过程pareto前端的分布情况。-Genetic algorithm is a multi-objective optimization example, dynamic display of pareto optimal process the
distribution of the front end
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Size: 1024 |
Author: Joey |
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Description: 基于MATLAB的帕累托求解，求最小值边界或曲面(the Pareto solver program based on MATLAB to find the minimum boundary or surface)
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Size: 1024 |
Author: 没沙基里
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