搜索资源列表
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多目标优化，遗传算法，适合于研究多目标优化的朋友 -Multi-objective optimization, genetic algorithm, suited to study multi-objective optimization of a friend
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基于粒子群优化与灰色系统理论的多目标优化程序，很好用-Based on Particle Swarm Optimization and gray system theory of multi-objective optimization process, a very good use
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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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A New Dynamic Multi-objective Optimization Evolutionary Algorithm
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this file is a zip file for multi objective optimization by matlab.
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MSGA toolbox to solve Multi-objective optimization problems
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its an bigeography based optimization algorithm for multi objective function
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pareto front multi objective optimization
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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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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
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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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单目标和多目标全局优化算法设计，这是一篇硕士论文。-Single objective and multi-objective global optimization algorithm, which is a master' s thesis.
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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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dynamic multi-objective optimization and decision making using modified NSAG--dynamic multi-objective optimization and decision making using modified NSAG-II
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multi-objective Optimization Using Evolutionary Algorithms 论文对应的matlab代码
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Multi-Objective Optimization Differential Evolution Algorithm
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NSGA-II A multi-objective optimization algorithm
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multi objective 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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