Title :
Comparative analysis of Vertex Cover computation algorithms for varied graphs
Author :
Patel, Surabhi ; Sowmya Kamath, S.
Author_Institution :
Dept. of Inf. Technol., Nat. Inst. of Technol. Karnataka, Surathkal, India
Abstract :
There are several vertex cover algorithms proposed for the solution of well-known NP-complete class problem of computing vertex cover. The Vertex Cover problem is important to address as it has various real world applications viz. Wireless Communication Network, Airline Communication Network, Terrorist Communication Network, etc. In this paper, we present a comparative evaluation of different existing algorithms like approximation, list, greedy and Alom´s for most efficiently computing vertex cover over a variety of large graphs. Our empirical study found that Alom´s algorithm performs consistently better than the other algorithms for all types of graphs, regardless of their class and number of vertices in the graph, while approximation algorithms show the worst performance for very large graphs.
Keywords :
computational complexity; graph theory; Alom algorithm; NP-complete class problem; approximation algorithm; graph theory; vertex cover computation algorithm; Algorithm design and analysis; Approximation algorithms; Complexity theory; Indexes; Approximation Algorithm; Clever Greedy Algorithm; Graph Theory; Greedy Algorithm; Lists Algorithm Vertex Cover Problem;
Conference_Titel :
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4799-3357-0
DOI :
10.1109/ICCSP.2014.6950106