A Novel Prediction Strategy Based on Change Degree of Decision Variables for Dynamic Multi-Objective Optimization

Effectively balancing the convergence and diversity in dynamic environments is a challenging task. In order to handle the issue, this paper proposes a novel prediction strategy based on change degree of decision variables for dynamic multi-objective optimization (CDDV), which has the ability to dete...

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Bibliografiska uppgifter

Huvudupphov:	Junwei Ou, Lining Xing, Min Liu, Lihua Yang
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2020-01-01
Serie:	IEEE Access
Ämnen:	Dynamic multi-objective optimization evolutionary algorithms change degree diversity
Länkar:	https://ieeexplore.ieee.org/document/8941130/
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