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- W2010082523 abstract "The two purposes of solving the multi-objective optimization problems are to get solutions close to the true Pa- reto front as much as possible and to obtain promising diversity. To meet these two demands, a new method is proposed in this paper, which has these characteristics: 1) it adopts the orthogonal design method with quantization technology to gen- erate initial population whose individuals are scattered uniformly over the target search space. 2) it is based on an adaptive e concept to obtain a good distribution along the true Pareto-optimal solutions. Experiments on five benchmark problems with different features indicate that the proposed method works well not only in diversity, but also in convergence when compared to other evolutionary algorithms." @default.
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- W2010082523 date "2015-04-17" @default.
- W2010082523 modified "2023-09-23" @default.
- W2010082523 title "A Simple Pareto Adaptive ε-Domination Differential Evolution Algorithm for Multi-Objective Optimization" @default.
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- W2010082523 doi "https://doi.org/10.2174/1874444301507010338" @default.
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