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mopsoarchi.rar
- 自适应多目标优化粒子群算法源程序,这是一个C语言编制的源程序,很实用.,Adaptive multi-objective particle swarm optimization algorithm source code, which is a C language source program, it is practical.
cilib
- 多目标优化算法JAVA源代码。里面附代码相关网址。请大家多-Multi-objective optimization algorithm JAVA source code. Links with the code inside. Please see more
ga
- 基于遗传算法的,可以用来求解多目标优化的程序源码-Based on genetic algorithms can be used to solve multi-objective optimization procedure source
Multiobjectvie-Genetic-Algorithm
- 有关多目标优化问题的遗传算法的基本理论方法的硕士论文,相关领域的大家可以参考一下-Multi-objective optimization problems related to genetic algorithms basic theories and methods of the master' s thesis and related fields that we can reference
epsmoea
- spsmoea是一种基于MOEA的多目标优化遗传算法,对于解决多目标问题收敛性好,确保了其多样性,具有很高的应用价值。-Epsilon-MOEA in C and C++
SPEA2
- SPEA2,是一种多目标优化的算法,求可行解集速度比较快!-SPEA2 for multiobjective optimization method, the strength Pareto evolutionary algorithm2
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- 给予免疫遗传算法的QOS路由选择问题,给予免疫遗传算法的多目标优化问题-Immune genetic algorithm for QOS routing problem, the immune genetic algorithm for multi-objective optimization problem
moea
- matlab遗传算法多目标优化,双目标函数优化-matlab genetic algorithm for multi-objective optimization, dual-objective optimization
Multi-objective_optimization_algorithm
- 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 probl
nsga_2
- 基于非支配排序遗传算法处理多目标优化的matlab例程(A matlab routine for multiobjective optimization based on nondominated sorting genetic algorithm)
_电动汽车光伏充电站的多目标优化调度方法
- 电动汽车光伏充电站是实现电动汽车对可再生能源就地消纳利用的典型集成方式,本 文针对光伏充电站运行中的优化调度问题展开研究。介绍了光伏充电站的典型结构、组成单元功 能及基本运行策略(Photovoltaic(PV)-assisted charging station for electric vehicles(EVs) is a typical integration of consuming renewable resources locally. Research on multi-objec
IM-MOPSO多目标粒子群优化程序
- 多目标粒子群优化程序比较经典的希望对大家有帮助(The multiobjective particle swarm optimization program is more classic and helpful for everyone)
多目标优化(遗传算法)
- 多目标优化算法,遗传算法,函数求最大值、最小值问题。(Multi-objective optimization algorithm, genetic algorithm, function for maximum value, minimum value problem.)
PlatEMO
- 多目标优化算法平台,内涵多种遗传算法和进化算法,图形界面,算法齐全并且最新的(Multi objective optimization algorithm platform, the connotation of a variety of genetic algorithm and evolutionary algorithm, graphical interface, algorithm is complete and up-to-date)
采用基于粒子群的多目标优化算法解决背包问题
- 多目标优化问题与粒子群算法的结合,以解决0-1背包问题(The multi-objective optimization problem is combined with particle swarm optimization to solve the 0-1 knapsack problem)
TestProblems
- 多目标优化测试函数集合,主要包括ZDT1~ZDT6以及DTLZ1~DTLZ6函数、TYD、UF等测试函数的数学模型,标准Pareto解集,非常实用。(Multi-objective optimization test function set, mainly including the ZDT1~ZDT6 and DTLZ1~DTLZ6 function, TYD, UF and other test functions of the mathematical model, the standa
分布式电源选址定容的多目标优化算法_夏澍
- 多目标粒子群算法优化分布式发电选址 实现了最优目标,包含了分布式电源的出力模型(Related papers on location and sizing of distributed generation)
GA多目标优化问题
- 采用遗传算法进行多目标优化问题的求解,具体为两个目标优化问题(genetic algorithm solve multi-objective problem)
多目标NSGA
- 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 algori
遗传算法多目标优化模板
- 利用geatpy库是实现多目标优化, 基于改进NSGA-Ⅱ算法求解多目标优化问题的进化算法模板,传统NSGA-Ⅱ算法的帕累托最优解来只源于当代种群个体,这样难以高效地获取更多的帕累托最优解,同时难以把种群大小控制在合适的范围内,改进的NSGA2整体上沿用传统的NSGA-Ⅱ算法,不同的是,该算法通过维护一个全局帕累托最优集来实现帕累托前沿的搜索,故并不需要保证种群所有个体都是非支配的。(Using geatpy library to realize multi-objective optimiza