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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
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Size: 14822 |
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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Size: 1295 |
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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Size: 169190 |
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
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Size: 40960 |
Author: 郭玉华 |
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Description: 火箭炮交流位置伺服系统的鲁棒最优控制 ，需要的可以下了-A Pareto Strength SCE-UA Algorithm for Reservoir OPtimization OPeration
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Size: 223232 |
Author: applejkj |
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Description: Pareto distribution table generator.
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Size: 1024 |
Author: kingqivin |
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Description: 应急调度 粒子群算法 pareto解集 非梯度爬山搜索-Emergency Scheduling particle swarm algorithm Pareto solution set of non gradient hill-climbing search
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Size: 980992 |
Author: 张卿 |
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Description: 一个有关遗帕累托最优传算法程序的一个实例 实测可用-A procedure for the Pareto optimal transmission algorithm is a practical example of the measured available
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Size: 14336 |
Author: 槛外人 |
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Description: Pareto蚁群算法在多目标电网规划中的应用_符杨-39-bus detailed data flow stability, and it can be used for validation of Power Network
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Size: 363520 |
Author: cge |
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Description: In this study, it is tried to employ a state-of-the-art multi-objective uniform-diversity genetic algorithm
(MUGA) for Pareto optimization of PI/PID controllers in Load Frequency Control (LFC) of power systems.
At fi rst, multi objective optimization of a linear non-reheat two-area interconnected power system is
conducted with respect to three confl icting objective functions. Gains of PI and PID controllers are con-
sidered as design variables while the objective functions are Integral Time multiply Absolute Error (ITAE),
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Size: 1814528 |
Author: Gomaa Haroun |
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Description: example for pareto solution using matlab
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Size: 7168 |
Author: tresno
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Description: example pareto matlab
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Size: 8192 |
Author: tresno
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Description: pareto matlab example
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Size: 9216 |
Author: tresno
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Description: MOPSO算法有详细说明，能够良好运行，出pareto图(MOPSO algorithm is described in detail, able to run well, generate the Pareto Diagram)
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Size: 482304 |
Author: yingying111
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Description: 帕累托最优，是指资源分配的一种理想状态，假定固有的一群人和可分配的资源，从一种分配状态到另一种状态的变化中，在没有使任何人境况变坏的前提下，使得至少一个人变得更好。(Screening non-inferior solution)
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Size: 1024 |
Author: 我的昵称呢
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Description: Pareto efficiency. Finding of incomparable elements
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Size: 1881088 |
Author: artcan019
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Description: about pareto fronts with matlab language
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Size: 7168 |
Author: janeok666 |
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Description: DTLZ测试函数生成真实Pareto前端(DTLZ test function to generate true Pareto front)
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Size: 1024 |
Author: timbosun |
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Description: NSGA（非支配排序遗传算法）、NSGA-II（带精英策略的快速非支配排序遗传算法），都是基于遗传算法的多目标优化算法，是基于pareto最优解讨论的多目标优化。(NSGA (Non-dominated Sorting Genetic Algorithms) and NSGA-II (Quick Non-dominated Sorting Genetic Algorithms with Elite Strategy) are multi-objective optimization algorithms based on genetic algorithm and multi-objective optimization based on Pareto optimal solution.)
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Size: 71680 |
Author: 山林小猎人 |
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Description: 遗传算法解决多目标优化问题，利用遗传算法对多目标问题进行优化得到pareto最优解。(The genetic algorithm solves the multi-objective optimization problem and USES the genetic algorithm to optimize the multi-objective problem to get pareto's optimal solution.)
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Size: 1024 |
Author: tianhuahua |
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