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MOEA
- MOEA/D是一种基于分解的多目标优化算法，这个ppt详细讲解了该算法的特点和方法-MOEA/D is a decomposition-based multi-objective optimization algorithm, this ppt explain in detail the characteristics of the algorithm and methods
ypea124-moea-d
- matlab code data mining
MOEAFramework-master
- 多目标进化算法框架，包括MOEAD、NSGA2等经典多目标进化算法。-The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. Th
MOEA-D
- 实现对多目标问题的求解，能够逼近真实的parato前沿面，分布性特别好(MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition)
MOEA-D-DE
- Multi objective evolutionary
moead-ira
- 这是进化算法中常用到的一种算法，moead-ida结合分解和参考点的思想更有利于解决高维多目标问题。(This is an algorithm commonly used in evolutionary algorithms. The idea of combining moead-ida with decomposition and reference points is more conducive to solving high-dimensional multi-objective pr
moea/d算法框架
- moea/d算法是基于分解的多目标优化，用于复杂网络的社区检测，本算法可以很好的运行吗，得出一组pareto前沿。
YPEA124 MOEA-D
- MOEA-D详细代码 数值算法/人工智能/matlab例程(MOEA-D detailed code, numerical algorithm / AI /matlab routines.)
MOEA-D-Continuous
- 多目标优化算法，涉及两种聚集函数，切比雪夫与边界交叉,ZDT系列测试函数，双目标与三目标(MOEA/D,this algorithm is a typical MOEA.)