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Dive into the research topics where Zehui Shao is active.

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Featured researches published by Zehui Shao.


Applied Mathematics and Computation | 2017

On the maximum ABC index of graphs without pendent vertices

Zehui Shao; Pu Wu; Yingying Gao; Ivan Gutman; Xiujun Zhang

Abstract Let G be a simple graph. The atom–bond connectivity index (ABC) of G is defined as A B C ( G ) = ∑ u v ∈ E ( G ) d ( u ) + d ( v ) − 2 d ( u ) d ( v ) , where d(v) denotes the degree of vertex v of G. We characterize the graphs with n vertices, minimum vertex degree  ≥ 2, and m edges for m = 2 n − 4 and m = 2 n − 3 , that have maximum ABC index.


Symmetry | 2018

Computing Zagreb Indices and Zagreb Polynomials for Symmetrical Nanotubes

Zehui Shao; Muhammad Kamran Siddiqui; Mehwish Hussain Muhammad

Topological indices are numbers related to sub-atomic graphs to allow quantitative structure-movement/property/danger connections. These topological indices correspond to some specific physico-concoction properties such as breaking point, security, strain vitality of chemical compounds. The idea of topological indices were set up in compound graph hypothesis in view of vertex degrees. These indices are valuable in the investigation of mitigating exercises of specific Nanotubes and compound systems. In this paper, we discuss Zagreb types of indices and Zagreb polynomials for a few Nanotubes covered by cycles.


congress on evolutionary computation | 2007

A genetic algorithm for solving multi-constrained function optimization problems based on KS function

Jianhua Xiao; Jin Xu; Zehui Shao; Congfeng Jiang; Linqiang Pan

In this paper, a new genetic algorithm for solving multi-constrained optimization problems based on KS function is proposed. Firstly, utilizing the agglomeration features of KS function, all constraints of optimization problems are agglomerated to only one constraint. Then, we use genetic algorithm to solve the optimization problem after the compression of constraints. Finally, the simulation results on benchmark functions show the efficiency of our algorithm.


Iet Communications | 2013

Integer linear programming model and satisfiability test reduction for distance constrained labellings of graphs: the case of L(3,2,1)labelling for products of paths and cycles

Zehui Shao; Aleksander Vesel

Let u and v be vertices of a graph G = ( V , E ) and d ( u , v ) be the distance between u and v in G . For positive integers k 1 , k 2 , ... , k n with


Journal of Parallel and Distributed Computing | 2012

Upper bounds on the connection probability for 2-D meshes and tori

Meilian Liang; Xiaodong Xu; Jiarong Liang; Zehui Shao

k_1 \gt k_2 \gt \cdots \gt k_n


Discrete Applied Mathematics | 2016

On dominating sets of maximal outerplanar and planar graphs

Zepeng Li; Enqiang Zhu; Zehui Shao; Jin Xu

k 1 >k 2 >⋯>k n an L ( k 1 , k 2 , ... , k n )-labelling of G is a function f : V ( G ) → {0, 1, ... } such that for every u , v ∈ V ( G ) and for all 1 ≤ i ≤ n , |f ( u ) - f ( v ) | ≥ k i if d ( u , v ) = i . The span of f is the difference between the largest and the smallest numbers in f ( V ( G )). The


Discrete Mathematics | 2013

A note on the chromatic number of the square of the Cartesian product of two cycles

Zehui Shao; Aleksander Vesel

\lambda _{k_1 \comma k_2 \comma \ldots \comma k_n }


SIAM Journal on Discrete Mathematics | 2011

More Constructive Lower Bounds on Classical Ramsey Numbers

Xiaodong Xu; Zehui Shao; StanisŁaw P. Radziszowski

λk 1 ,k 2 ,...,k n -number of G is the minimum span over all L ( k 1 , k 2 , ... , k n )-labellings of G . In this study, an integer linear programming model and a satisfiability test reduction for an L ( k 1 , k 2 , ... , k n )-labelling are proposed. Both approaches are used for studying the λ 3,2,1 -numbers of strong, Cartesian and direct products of paths and cycles.


Information Processing Letters | 2018

Double Roman domination in trees

Xiujun Zhang; Zepeng Li; Huiqin Jiang; Zehui Shao

Mesh is an important and popular interconnection network topology for large parallel computer systems. A mesh can be divided into submeshes to obtain the upper bounds on the connection probability for the mesh. Combinatorial techniques are used to get closer upper bounds on the connection probability for 2-D meshes compared with the existing upper bounds we have known. Simulation results of meshes of various sizes show that our upper bounds are close to the exact connection probability. The combinatorial methods and tools used in this paper can be used to study the connection probabilities for other networks.


Central European Journal of Operations Research | 2015

L(3,2,1)-labeling of triangular and toroidal grids

Zehui Shao; Aleksander Vesel

A set D ? V ( G ) of a graph G is a dominating set if every vertex v ? V ( G ) is either in D or adjacent to a vertex in D . The domination number γ ( G ) of a graph G is the minimum cardinality of a dominating set of G . Campos and Wakabayashi (2013) and Tokunaga (2013) proved independently that if G is an n -vertex maximal outerplanar graph having t vertices of degree 2, then γ ( G ) ? n + t 4 . We improve their upper bound by showing γ ( G ) ? n + k 4 , where k is the number of pairs of consecutive 2-degree vertices with distance at least 3 on the outer cycle. Moreover, we prove that γ ( G ) ? 5 n 16 for a Hamiltonian maximal planar graph G with n ? 7 vertices.

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Jin Xu

Huazhong University of Science and Technology

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Xiaodong Xu

Rochester Institute of Technology

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Pu Wu

Guangzhou University

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Fei Deng

Chengdu University of Technology

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Jia-Bao Liu

Anhui Jianzhu University

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Xiaosong Zhang

University of Electronic Science and Technology of China

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