Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
New metaheuristic approaches for the edge-weighted k-cardinality tree problem
In this paper we propose three metaheuristic approaches, namely a Tabu Search, an
Evolutionary Computation and an Ant Colony Optimization approach, for the edge-weighted …
Evolutionary Computation and an Ant Colony Optimization approach, for the edge-weighted …
Obtaining optimal k-cardinality trees fast
Given an undirected graph G=(V, E) with edge weights and a positive integer number k, the
k-cardinality tree problem consists of finding a subtree T of G with exactly k edges and the …
k-cardinality tree problem consists of finding a subtree T of G with exactly k edges and the …
Simple heuristics for the rooted max tree coverage problem
J Zhou, P Zhang - International Conference on Combinatorial …, 2023 - Springer
Abstract The Max Tree Coverage (MTC) problem is the dual of the classic k-MST problem
and has wide applications in areas such as network design and vehicle routing. Given a …
and has wide applications in areas such as network design and vehicle routing. Given a …
An artificial bee colony algorithm for the minimum edge-dilation K-center problem
M Israni, S Sundar - Soft Computing, 2024 - Springer
This paper studies the minimum edge-dilation K-center (MEDKC) problem for edge-
weighted, undirected and connected graphs. This problem which is NP-hard holds …
weighted, undirected and connected graphs. This problem which is NP-hard holds …
An Evolutionary Algorithm Based on CMSA for Rooted Max Tree Coverage
J Zhou, P Zhang - IEEE Transactions on Evolutionary …, 2024 - ieeexplore.ieee.org
The rooted Max Tree Coverage (MTC) problem has wide applications in areas such as
network design and vehicle routing. Given a graph with nonnegative costs defined on …
network design and vehicle routing. Given a graph with nonnegative costs defined on …
Revisiting dynamic programming for finding optimal subtrees in trees
C Blum - European Journal of Operational Research, 2007 - Elsevier
In this paper we revisit an existing dynamic programming algorithm for finding optimal
subtrees in edge weighted trees. This algorithm was sketched by Maffioli in a technical …
subtrees in edge weighted trees. This algorithm was sketched by Maffioli in a technical …
[HTML][HTML] The k-cardinality tree problem: reformulations and lagrangian relaxation
FP Quintão, AS da Cunha, GR Mateus… - Discrete Applied …, 2010 - Elsevier
Given an undirected defining graph for the k-Cardinality Tree Problem (KCTP), an
associated directed graph involving two additional vertices is introduced in this paper and …
associated directed graph involving two additional vertices is introduced in this paper and …
Network optimization of functional connectivity within default mode network regions to detect cognitive decline
The rapid aging of the world's population is causing an increase in the prevalence of
cognitive decline and degenerative brain disease in the elderly. Current diagnoses of …
cognitive decline and degenerative brain disease in the elderly. Current diagnoses of …
[PDF][PDF] A memetic algorithm for the minimum weighted k-cardinality tree subgraph problem
The minimum weighted k-cardinality tree subgraph problem consists in finding, in a given
undirected weighted graph G (V, E, W), a tree T⊆ E of k edges having minimal total weight …
undirected weighted graph G (V, E, W), a tree T⊆ E of k edges having minimal total weight …
Solving the minimum edge-dilation k-center problem by genetic algorithms
In this paper, we present two genetic algorithms (GA) for solving the minimum edge-dilation
k-center (MEDKC) problem. Up to now, MEDKC has been considered only theoretically, and …
k-center (MEDKC) problem. Up to now, MEDKC has been considered only theoretically, and …