scholarly journals Lower bounds to the graph partitioning problem through generalized linear programming and network flows

1987 ◽  
Vol 21 (4) ◽  
pp. 349-364 ◽  
Author(s):  
M. Minoux ◽  
E. Pinson
1998 ◽  
Vol 09 (02) ◽  
pp. 331-339 ◽  
Author(s):  
C. B. Chua ◽  
Kan Chen

We study the uniform graph partitioning problem using the learning algorithm proposed by one of us. We discuss the characteristics of the learning algorithm and compare the performance of the algorithm empirically with the Kernighan–Lin algorithm on a range of instances. Even with a simple implementation, the learning algorithm is capable of producing very good results.


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