搜索资源列表
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外国人写的基于java的多目标优化源程序jMetal 3.1最新版，包括NSGA-II\SPEA2\MOPSO等。-jMetal 3.1 for multiobjective optimization
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用于多目标优化的程序，非常经典的NSGAII，在IEEEEC上引用频次超多,NSGAII for multiobjective optimization
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Multiobjective Optimization - Interactive and Evolutionary Approaches - Springer (2008)
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关于粒子群算法的各种应用及当前研究前沿热点。-With regard to various applications of particle swarm optimization algorithm and the frontier of current research hotspot.
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多目标优化算法快速非支配排序(NSGA2)的具体程序-the code of multiobjective optimization method NSGA2
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Multiobjective Particle Swarm with Crowding Distance（多目标优化）-Multiobjective Particle Swarm with Crowding Distance (multi-objective optimization)
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多目标问题的粒子群优化算法实现，毕设时设计的，通过运行！-The issue of multi-objective particle swarm optimization algorithm, when the Bi-based design, by running!
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Multiobjective optimization tools
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多目标遗传算法工具箱，内容很详细，已经测试过，文件里面有怎么使用的说明-Micro Genetic Algorithm for Multiobjective Optimization，The code is distributed for academic purposes only. It has no warranty
implied or given, and the authors assume no liability for damage resulting from its u
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Multiobjective optimization for dynamic environments.
The IEEE Congress on Evolutionary Computation (CEC)
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Develop the NSGA-II or SPEA2 multiobjective evolutionary
algorithms to solve the multiobjective optimization
problems.-Develop the NSGA-II or SPEA2 multiobjective evolutionary
algorithms to solve the multiobjective optimization
problems.
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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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JMetal version 3.0 Framework Multiobjective Optimization
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2009 A New Method for Multiobjective Optimization BasedonLearning Automata
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遗传算法与模糊多目标优化经典电子书。是英文版的。是从事多目标优化的必备书-Genetic Algorithms and Fuzzy Multiobjective Optimization classic books. Is the English version. Multi-objective optimization is essential in the book
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多目标优化算法——Set Preference Algorithm for Multiobjective Optimization
-SPAM is a multiobjective evolutionary algorithm to incorporate preference and has been proposed by Eckart Zitzler, Lothar Thiele, and Johannes Bader at the ETH Zurich.
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多目标优化算法——Simple Evolutionary Multiobjective Optimizer
-SEMO2 is a population-based evolutionary algorithm for multiobjective optimization. This algorithm uses an archive of variable size that stores all non-dominated individuals. Parents are chosen
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多目标优化算法——Hypervolume Estimation Algorithm for Multiobjective Optimization
-HypE- Hypervolume Estimation Algorithm for Multiobjective Optimization
HypE is an hypervolume-based multiobjective evolutionary algorithm and has been proposed by Johannes
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多目标优化算法——Fair Evolutionary Multiobjective Optimizer-FEMO (Fair Evolutionary Multiobjective Optimizer) is a population-based evolutionary algorithm for multiobjective optimization. This algorithm uses an archive of variable size that stores all non-do
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多目标优化问题，用matlab来实现，即实现了图像功能，更能够体现人的思想-Multi-objective optimization problem, using matlab to achieve, namely to achieve the image function, better able to reflect people' s thoughts
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