A Decomposition Method Based on Random Objective Division for MOEA/D in Many-Objective Optimization

With the number increase of optimization objectives, the selection pressure begins to decrease, and the performance of multi-objective evolutionary algorithms becomes gradually inefficient. A decomposition method based on random objective division (ROD) is proposed in this paper for MOEA/D optimizin...

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Bibliographic Details
Main Authors: Xue Lu, Yanyan Tan, Wei Zheng, Lili Meng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9106348/