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: ''This article is about the heuristic algorithm for the graph partitioning problem. For a heuristic for the traveling salesperson problem, see [[Lin–Kernighan heuristic]].''
'''Kernighan–Lin''' is a O(n<sup>3</sup>&nbsp;) [[heuristic algorithm]] for solving the [[graph partitioning problem]]. The algorithm has important applications in the layout of digital circuits and components in [[VLSI]].<ref name="kl"/><ref name="ravikumar"/>


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==Description==
Let <math>G(V,E)</math> be a graph, and let <math>V</math> be the set of nodes and <math>E</math> the set of edges. The algorithm attempts to find a partition of <math>V</math> into two disjoint subsets <math>A</math> and <math>B</math> of equal size, such that the sum <math>T</math> of the weights of the edges between nodes in <math>A</math> and <math>B</math> is minimized. Let <math>I_{a}</math> be the ''internal cost'' of ''a'', that is, the sum of the costs of edges between ''a'' and other nodes in ''A'', and let <math>E_{a}</math> be the ''external cost'' of ''a'', that is, the sum of the costs of edges between ''a'' and nodes in ''B''. Furthermore, let
:<math>D_{a} = E_{a} - I_{a}</math>
be the difference between the external and internal costs of ''a''. If ''a'' and ''b'' are interchanged, then the reduction in cost is
:<math>T_{old} - T_{new} = D_{a} + D_{b} - 2c_{a,b}</math>
where <math>c_{a,b}</math> is the cost of the possible edge between ''a'' and ''b''.
 
The algorithm attempts to find an optimal series of interchange operations between elements of <math>A</math> and <math>B</math> which maximizes <math>T_{old} - T_{new}</math> and then executes the operations, producing a partition of the graph to ''A'' and ''B''.<ref name="kl">{{cite journal|first1=B. W.|last1=Kernighan|authorlink1=Brian Kernighan|first2=Shen|last2=Lin|authorlink2=Shen Lin| year = 1970 | title = An efficient heuristic procedure for partitioning graphs | journal = Bell Systems Technical Journal|volume=49|pages=291–307}}</ref>
 
==Pseudocode==
See <ref name="ravikumar">{{cite book|last=Ravikumār|first=Si. Pi|coauthors=Ravikumar, C.P|title=Parallel methods for VLSI layout design|publisher=Greenwood Publishing Group|year=1995|pages=73|isbn=978-0-89391-828-6|oclc=2009-06-12|url=http://books.google.com/?id=VPXAxkTKxXIC}}</ref>
 
<code>
  1  '''function''' Kernighan-Lin(''G(V,E)''):
  2      determine a balanced initial partition of the nodes into sets A and B
  3      A1 := A; B1 := B
  4      '''do'''
  5        compute D values for all a in A1 and b in B1
  6        '''for (n := 1 to |V|/2)'''
  7            find a[i] from A1 and b[j] from B1, such that g[n] = D[a[i]] + D[b[j]] - 2*c[a[i]][b[j]] is maximal
  8            move a[i] to B1 and b[j] to A1
  9            remove a[i] and b[j] from further consideration in this pass
  10          update D values for the elements of A1 = A1 \ a[i] and B1 = B1 \ b[j]
  11        '''end for'''
  12        find k which maximizes g_max, the sum of g[1],...,g[k]
  13        '''if (g_max > 0)''' '''then'''
  14          Exchange a[1],a[2],...,a[k] with b[1],b[2],...,b[k]
  15    '''until (g_max <= 0)'''
  16  '''return G(V,E)'''
</code>
 
==References==
{{reflist}}
 
{{DEFAULTSORT:Kernighan-Lin algorithm}}
[[Category:Combinatorial optimization]]
[[Category:Combinatorial algorithms]]
[[Category:Heuristic algorithms]]

Revision as of 23:52, 16 March 2013

This article is about the heuristic algorithm for the graph partitioning problem. For a heuristic for the traveling salesperson problem, see Lin–Kernighan heuristic.

Kernighan–Lin is a O(n3 ) heuristic algorithm for solving the graph partitioning problem. The algorithm has important applications in the layout of digital circuits and components in VLSI.[1][2]

Description

Let G(V,E) be a graph, and let V be the set of nodes and E the set of edges. The algorithm attempts to find a partition of V into two disjoint subsets A and B of equal size, such that the sum T of the weights of the edges between nodes in A and B is minimized. Let Ia be the internal cost of a, that is, the sum of the costs of edges between a and other nodes in A, and let Ea be the external cost of a, that is, the sum of the costs of edges between a and nodes in B. Furthermore, let

Da=EaIa

be the difference between the external and internal costs of a. If a and b are interchanged, then the reduction in cost is

ToldTnew=Da+Db2ca,b

where ca,b is the cost of the possible edge between a and b.

The algorithm attempts to find an optimal series of interchange operations between elements of A and B which maximizes ToldTnew and then executes the operations, producing a partition of the graph to A and B.[1]

Pseudocode

See [2]

 1  function Kernighan-Lin(G(V,E)):
 2      determine a balanced initial partition of the nodes into sets A and B
 3      A1 := A; B1 := B
 4      do
 5         compute D values for all a in A1 and b in B1
 6         for (n := 1 to |V|/2)
 7            find a[i] from A1 and b[j] from B1, such that g[n] = D[a[i]] + D[b[j]] - 2*c[a[i]][b[j]] is maximal
 8            move a[i] to B1 and b[j] to A1
 9            remove a[i] and b[j] from further consideration in this pass
 10           update D values for the elements of A1 = A1 \ a[i] and B1 = B1 \ b[j]
 11        end for
 12        find k which maximizes g_max, the sum of g[1],...,g[k]
 13        if (g_max > 0) then
 14           Exchange a[1],a[2],...,a[k] with b[1],b[2],...,b[k]
 15     until (g_max <= 0)
 16  return G(V,E)

References

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