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Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine

Published • Jun 1, 2019
NobleIDNI2P42W67R04S32
Authors:
Weizhen Hu
,
Min Jiang
,
Xing Gao

Abstract

The main feature of the Dynamic Multi-objective Optimization Problems (DMOPs) is that optimization objective functions will change with times or environments. One of the promising approaches for solving the DMOPs is reusing the obtained Pareto optimal set (POS) to train prediction models via machine...

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