A prediction method for dynamic multiobjective optimization based on joint subspace and correlation alignment
Guoping Li,
Yanmin Liu,
Xicai Deng
Abstract:Dynamic multiobjective optimization is a significant challenge in accurately capturing changes in Pareto optimal sets (PS), encompassing both location and manifold changes. Existing approaches primarily focus on tracking changes in the location of the PS, often overlooking the potential impact of changes in the PS manifold, which can be decomposed into rotation and distortion changes. Such oversights can lead to a reduction in the overall performance of an algorithm. To address this issue, a prediction method … Show more
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