MOEA/D with Uniformly Randomly Adaptive Weights

When working with decomposition-based algorithms, an appropriate set of weights might improve quality of the final solution. A set of uniformly distributed weights usually leads to well-distributed solutions on a Pareto front. However, there are two main difficulties with this approach. Firstly, it...

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Veröffentlicht in:	arXiv.org 2019-08
Hauptverfasser:	Lucas R C de Farias, Braga, Pedro H M, Bassani, Hansenclever F, Araújo, Aluizio F R
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Computer Science - Neural and Evolutionary Computing
Online-Zugang:	Volltext
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