搜索资源列表
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遗传算法 多目标的优化 是用GAOTV包做的-GA multi-objective optimization is done with the package GAOTV
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提供了常用的优化算法，包括约束变尺度法，拟牛顿法，遗传算法，多目标优化算法，Hookjeeves算法等多种算法。使用时先写好优化模型，生成相应的dll此优化库可以根据选择的算法对优化模型进行优化求解。-provide a common method of optimization, including CVMO1-, quasi-Newton method, genetic algorithm, multi-objective optimization algorithm, Hookjeeves
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旅行商问题的遗传算法求解源代码，多目标优化经典问题的现代启发式算法实现-traveling salesman problem genetic algorithm source code, multi-objective optimization of the modern classic Heuristic Algorithm
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遗传算法的简单程序，可用于离散变量优化，多目标优化等许多领域-the simple procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas
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实现遗传算法（GA）的多目标优化算法：NSGA-II算法。,The realization of genetic algorithms (GA) of the multi-objective optimization algorithm: NSGA-II algorithm.
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实现遗传算法（GA）的多目标优化算法：NSGA-II的MATLAB程序,The realization of genetic algorithms (GA) of the multi-objective optimization algorithm: NSGA-II of the MATLAB program
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NSGA-II多目标优化的matlab代码,NSGA-II multi-objective optimization matlab code
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关于多目标优化的代码，这个代码是一个框架，大家可以修改一下-Multi-objective optimization on the code, the code is a framework, we can make some corrections
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spea源码，是目前非常流行的解决多目标优化问题的进化算法。-Spea source, is very popular to solve multi-objective evolutionary algorithm for optimization problems.
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基于微分的多目标优化问题，以子函数的形式写出的-Based on the differential of the multi-objective optimization problem in order to write the form of Functions
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有关多目标粒子群算法的论文，想研究多目标的可以参考-Of the multi-objective particle swarm optimization of the papers, I would like to research objectives can refer to
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Java平台的启发式优化算法，包含了多目标进化算法（SPEA2和NSGA2），多目标差异进化，PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems.
The Opt4J framework currently includes a multi-obje
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这些文献包括，分类，聚类，以及多目标优化，可以帮助大家进一步学习和接触此方面的知识，进而进一步发展-These documents include classification, clustering, and multi-objective optimization, which can help us to further study and access to the further development of this knowledge.
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进化算法多目标优化的飞控参数自整定方法Multi-objective optimization evolutionary algorithms flight control parameter self-tuning method-Multi-objective optimization evolutionary algorithms flight control parameter self-tuning method
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基于多目标优化遗传算法的用于电火花机床参数优化的matla程序源代码。-Multi-objective optimization genetic algorithm (for edm parameters optimization)
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该函数演示多目标perota优化问题,粒子群算法-This function demonstrates multi-objective optimization problem perota
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生物地理学优化算法，作者Dan Simon，是在遗传算法和粒子群算法的基础上发展来的，适用于解决高维度的，多目标的最优化问题。-Biogeography optimization algorithm, author Dan Simon, is based on genetic algorithm and particle swarm algorithm development to apply to solve high-dimensional, multi-objective optimiza
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基于粒子群算法的多目标优化算法，结构简单，优化效果显著，用于多目标同时优化-Multi-objective particle swarm optimization algorithm, simple structure, optimize the effect is significant, for multi-objective optimization simultaneously
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2017 Fusing feasible search space into PSO for multi-objective cascade reservoir optimization
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NSGA的源程序，是多目标进化算法的智能算法，可用于多目标优化与决策等方面的计算(NSGA source, multi-objective evolutionary algorithm intelligent algorithm can be used to calculate other multi-objective optimization and decision-making)
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