Promoting Objective Knowledge Transfer: A Cascaded Fuzzy System for Solving Dynamic Multiobjective Optimization Problems

In this article, a novel dynamic multiobjective optimization algorithm (DMOA) with a cascaded fuzzy system (CFS) is developed, which aims to promote objective knowledge transfer from an innovative perspective of comprehensive information characterization. This development seeks to overcome the bottl...

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Vydané v:	IEEE transactions on fuzzy systems Ročník 32; číslo 11; s. 6199 - 6213
Hlavní autori:	Li, Han, Wang, Zidong, Zeng, Nianyin, Wu, Peishu, Li, Yurong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2024
Predmet:	cascaded fuzzy system Dynamic multiobjective optimization algorithm (DMOA) evolutionary transfer optimization (ETO) Fuzzy systems Heuristic algorithms information characterization Knowledge transfer negative transfer Optimization Prediction algorithms Social factors Statistics
ISSN:	1063-6706, 1941-0034
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