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Evolutionary dynamic multiobjective optimization using a Bayesian vector autoregression prediction model

delete2025-07-18
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PRE
AI
K
Kai Gao
W
Wenxiang Jiang
L
Lihong Xu
DOI：10.1016/j.engappai.2025.111696delete
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Abstract

Abstract

En 中文
• A dynamic multiobjective optimization evolutionary algorithm is proposed. • A Bayesian vector autoregression model is applied to predict the initial population. • Multivariate interaction optimization significantly improves the search efficiency. • Systematic studies demonstrate the effectiveness of the proposed algorithm.

Journal

Engineering Applications of Artificial Intelligence cover
Engineering Applications of Artificial Intelligence
IF:
8
Papers:
5.3K
Citations:
3.5W

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No organization information available