Zobrazeno 1 - 10
of 6 800
pro vyhledávání: '"hamiltonian graph"'
Autor:
Ali, Sarwan, Moscato, Pablo
We present a memetic algorithm (\maa) approach for finding a Hamiltonian cycle in a Hamiltonian graph. The \ma is based on a proven approach to the Asymmetric Travelling Salesman Problem (\atspp) that, in this contribution, is boosted by the introduc
Externí odkaz:
http://arxiv.org/abs/2403.07886
Akademický článek
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The time evolution of physical systems is described by differential equations, which depend on abstract quantities like energy and force. Traditionally, these quantities are derived as functionals based on observables such as positions and velocities
Externí odkaz:
http://arxiv.org/abs/2307.05299
In traditional Graph Neural Networks (GNNs), the assumption of a fixed embedding manifold often limits their adaptability to diverse graph geometries. Recently, Hamiltonian system-inspired GNNs have been proposed to address the dynamic nature of such
Externí odkaz:
http://arxiv.org/abs/2309.04885
Autor:
TIAN Lu, LIU Sheng
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 7, Pp 1586-1598 (2023)
Aiming at the shortcomings of sparrow search algorithm (SSA), such as decreased population diversity in the late iteration and easily falling into local optimal solution, a hybrid algorithm of sparrow search algorithm and arithmetic optimization algo
Externí odkaz:
https://doaj.org/article/7000bd9882f9498db4677445e20e17b8
Autor:
Nhu An Do, Quang Tuan Nguyen
Publikováno v:
Tạp chí Khoa học Đại học Đà Lạt, Vol 14, Iss 3 (2024)
Let G be an undirected simple graph on \(n \geq 3\) vertices with the degree sum of any two nonadjacent vertices in G equal to \(n - 2\). We determine the condition for G to be a Hamiltonian graph.
Externí odkaz:
https://doaj.org/article/ed4ab2ddb6464be1a7a3e8b23486946b
Autor:
BENSMAIL, JULIEN1 julien.bensmail.phd@gmail.com
Publikováno v:
Discussiones Mathematicae: Graph Theory. 2024, Vol. 44 Issue 2, p755-776. 22p.
Autor:
vidhya, Subha1 m.subhavidya@gmail.com, Tharaniya, P.1 tharamanisharmi@gmail.com, Jayalalitha, G.2 g.jayalalithamaths.sbs@velsuniv.ac.in
Publikováno v:
Journal of Algebraic Statistics. 2022, Vol. 13 Issue 3, p1847-1852. 6p.
Autor:
Greeda, J, Vinoba, V.
Publikováno v:
Procedia Computer Science; 2023, Vol. 230, p608-619, 12p
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035049 (2024)
The time evolution of physical systems is described by differential equations, which depend on abstract quantities like energy and force. Traditionally, these quantities are derived as functionals based on observables such as positions and velocities
Externí odkaz:
https://doaj.org/article/df2f09003603451a9802e210a79c593a