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基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考-Multi-objective optimization based on evolutionary algorithm, using matlab programs are written, please refer to
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基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考-Multi-objective optimization based on evolutionary algorithm, using matlab programs are written, please refer to
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NSGA2 matlab code (Non-Dominated Sorting Genetic Algorithm) - An evolutionary multi-objective optimization algorithm
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VEGA matlab code (Vector Evaluted Genetic Algorithm)- An evolutionary multi-objective optimization algorithm
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MOEA/D matlab code (Multi-Objective Evolutionary Algorithm/ Decomposition-based) - An evolutionary multi-objective optimization algorithm
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MOPSO matlab code- (Multi-Objective Particle Swarm Optimization algorithm) - An evolutionary multi-objective optimization algorithm
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基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考(Multi-objective optimization based on evolutionary algorithm, using matlab programs are written, please refer to)
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按照外文经典文献的步骤和流程,在matlab环境下编写了多目标优化进化算法程序。在外文经典文献中,有该算法的子函数开源代码,程序运行速度快、精度高。文件由主程序和子函数构成,共7个.m文件。(According to the steps and process of foreign literature, a multi-objective optimization evolutionary algorithm program is written in Matlab environment.
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添加了了约束的非支配排序遗传算法的代码。(A structure MATLAB implementation of NSGA-II for Evolutionary Multi-Objective Optimization)
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遗传算法(genetic algorithm,GA)是一种近年来发展起来的基于自然选择规律的进化算法,本程序利用改进型遗传算法对电力系统进行无功优化,与遗传算法进行比较,通过实际算例分析及MATLAB编程结果运行,成功解决了无功优化问题,并验证了改进型遗传算法的优越性。(The genetic algorithm (genetic algorithm GA) is an evolutionary algorithm based on natural selection rules develop
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蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出,其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。
这种算法具有分布计算、信息正反馈和启发式搜索的特征,本质上是进化算法中的一种启发式全局优化算法。蚁群算法的matlab实现(Ant colony algorithm is a probabilistic algorithm for finding optimal paths. It was put forward by Marco Dori
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该算法利用演化博弈的思想进行多小区用户的资源分配,将小区重叠部分当做种群,种群中的用户进行演化博弈进行网络切换,基站为其分配子信道。本算法利用matlab进行仿真测试,仿真结果显示演化博弈能够达到稳定,提升系统吞吐量,在小区资源分配能够有一个很好的参考。不同于传统的资源分配方法,可以给出一个新思路(The algorithm uses the idea of evolutionary game to allocate resources for multi-cell users. The ove
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基于matlab的演化博弈模拟输出图,亲测好用,欢迎下载(Matlab-based evolutionary game simulation output diagram)
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智能优化算法及其MATLAB仿真实例,包括进化类算法,群智能算法,模拟退火算法,禁忌搜索算法,神经网络算法等程序源码(Intelligent optimization algorithm and MATLAB simulation examples, including evolutionary algorithm, swarm intelligence algorithm, simulated annealing algorithm, tabu search algorithm, neural
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演化博弈仿真:可以进行演化博弈matlab的数值仿真(Matlab numerical simulation of evolutionary game)
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