Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Zhenyu, Meng"'
Publikováno v:
PLoS ONE, Vol 19, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/2ab15ccc77464e689a6094a8a737dbab
Autor:
Juncan Li, Zhenyu Meng
Publikováno v:
IEEE Access, Vol 11, Pp 131677-131707 (2023)
Since the inception in 1995, Differential Evolution (DE) has gained significant attention from researchers worldwide, and many DE variants proposed in the last decades obtained excellent performance in many scientific and engineering applications. Ho
Externí odkaz:
https://doaj.org/article/802741c9bb9c479eb21db4b35dc22ffd
Autor:
Junyuan Zhang, Zhenyu Meng
Publikováno v:
IEEE Access, Vol 11, Pp 88711-88729 (2023)
Differential Evolution(DE) is a widely used technique to tackle complex optimization problems owing to its easy-implementation and excellent performance, nevertheless, the inborn weakness of the crossover operation has not been solved even in the rec
Externí odkaz:
https://doaj.org/article/2651b2b1ca444961b34a1dbab2ebac8a
Publikováno v:
Journal of Clinical Pathology; Aug2024, Vol. 77 Issue 8, p517-527, 11p
Publikováno v:
IEEE Access, Vol 8, Pp 51145-51167 (2020)
In this paper, we proposed a novel DE variant named DE-NPC for real parameter single objective optimization. In DE-NPC algorithm, a novel adaptation scheme for the scale factor F is first proposed, which is based on the location information of the po
Externí odkaz:
https://doaj.org/article/4eea9342cbcd45f3918b53c7f4f9acd3
Publikováno v:
IEEE Access, Vol 8, Pp 40809-40827 (2020)
Differential Evolution (DE) is a simple and effective stochastic algorithm for optimization problems, and it became much more popular in recent year because of its easy-implementation and excellent performance. Nevertheless, the performance of DE alg
Externí odkaz:
https://doaj.org/article/ab6eb2b260484a76930aa78cd4910a59
Publikováno v:
IEEE Access, Vol 8, Pp 139460-139478 (2020)
Single objective real-parameter optimization problems exist in many areas of the real world, and Differential Evolution (DE) is a powerful population based stochastic optimization approach for tackling such problems. There are many different mutation
Externí odkaz:
https://doaj.org/article/85d7984e79a84349940847f9f3dfa65f
Autor:
Zhenyu Meng, Jeng-Shyang Pan
Publikováno v:
IEEE Access, Vol 7, Pp 12832-12854 (2019)
Differential evolution is a famous and effective branch of evolutionary computation, which aims at tackling complex optimization problems. There are two aspects significantly affecting the overall performance of DE variants, one is trial vector gener
Externí odkaz:
https://doaj.org/article/63524ea7141d47c98d3eaa9aa9295fbb
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
Abstract G-quadruplexes (GQ) folded by the oncogenic G-rich sequences are the promising targets for developing anticancer therapeutic molecules. However, the current drug development mainly focused on non-covalent dynamic binders to stabilize GQ stru
Externí odkaz:
https://doaj.org/article/7bee6b42f63743659c0f684867f5e2be
Publikováno v:
ISA Transactions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::804d964c5fab6fcd8d3b8f5ce31f8b10
https://doi.org/10.1016/j.isatra.2023.05.005
https://doi.org/10.1016/j.isatra.2023.05.005