Original paper
Dynamic XFEM-based detection of multiple flaws using an improved artificial bee colony algorithm
Volume: 365, Pages: 112995 - 112995
Published: Jun 1, 2020
Abstract
This paper proposes a novel strategy for detecting multiple flaws based on the dynamic extended finite element method (XFEM) and an improved artificial bee colony (IABC) algorithm. To improve the qualities of the initial iterative candidates, a chaotic sequence is adopted to replace the random sequence in the conventional artificial colony algorithm. Meanwhile, an adaptive parameter dimension search is proposed to prevent the iterative solution...
Paper Details
Title
Dynamic XFEM-based detection of multiple flaws using an improved artificial bee colony algorithm
Published Date
Jun 1, 2020
Volume
365
Pages
112995 - 112995
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History