A linear-time approximation algorithm for the weighted vertex cover problem

1981 ◽  
Vol 2 (2) ◽  
pp. 198-203 ◽  
Author(s):  
R Bar-Yehuda ◽  
S Even
2019 ◽  
Vol 27 (4) ◽  
pp. 559-575
Author(s):  
Mojgan Pourhassan ◽  
Feng Shi ◽  
Frank Neumann

Evolutionary multiobjective optimization for the classical vertex cover problem has been analysed in Kratsch and Neumann ( 2013 ) in the context of parameterized complexity analysis. This article extends the analysis to the weighted vertex cover problem in which integer weights are assigned to the vertices and the goal is to find a vertex cover of minimum weight. Using an alternative mutation operator introduced in Kratsch and Neumann ( 2013 ), we provide a fixed parameter evolutionary algorithm with respect to [Formula: see text], the cost of an optimal solution for the problem. Moreover, we present a multiobjective evolutionary algorithm with standard mutation operator that keeps the population size in a polynomial order by means of a proper diversity mechanism, and therefore, manages to find a 2-approximation in expected polynomial time. We also introduce a population-based evolutionary algorithm which finds a [Formula: see text]-approximation in expected time [Formula: see text].


2014 ◽  
Vol 31 (2) ◽  
pp. 846-864 ◽  
Author(s):  
Mourad El Ouali ◽  
Helena Fohlin ◽  
Anand Srivastav

2008 ◽  
Vol 156 (3) ◽  
pp. 292-312 ◽  
Author(s):  
Miroslav Chlebík ◽  
Janka Chlebíková

2019 ◽  
Vol 71 (9) ◽  
pp. 1498-1509 ◽  
Author(s):  
Ruizhi Li ◽  
Shuli Hu ◽  
Shaowei Cai ◽  
Jian Gao ◽  
Yiyuan Wang ◽  
...  

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