Dynamic multiobjective optimization by knowledge learning based on factorization machine
Published in 2021 China Automation Congress (CAC) • Oct 22, 2021
NobleIDNI0P81W15R70S29
Authors:,,
Hao Sun
Cong Wang
Ziyu Hu
Abstract
One of the main characteristics of dynamic multiobjective optimization problems is that the optimization objectives will change over time, so tracking the changing Pareto optimal front becomes a challenge. To this end, a knowledge learning prediction strategy based on a factorization machine is prop...
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