搜索资源列表
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多目标下优化搜索-multi-objective optimization under Search
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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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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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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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pso算法，比较好的算法，简单，可以用于多目标优化-pso algorithm, a better algorithm, simple and can be used for multi-objective optimization
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差分进化算法，比较好的算法啊。可用多目标优化-Differential evolution algorithm, a better algorithm ah. Available multi-objective optimization
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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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多目标优化问题的解法--牛顿法，用matlab编写-Multi-objective optimization-Newton method
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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 Differential Evolution Algorithm
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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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multi objective optimization
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multi objective optimization using particle swarm 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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