MINIMIZATION OF A QUADRATIC PSEUDO-BOOLEAN FUNCTION

被引:31
|
作者
BILLIONNET, A [1 ]
SUTTER, A [1 ]
机构
[1] FRANCE TELECOM,CTR NATL ETUD TELECOMMUN,F-92131 ISSY MOULINEAUX,FRANCE
关键词
ZERO-ONE QUADRATIC PROGRAMMING; BRANCH AND BOUND; COMPUTATION; LOWER BOUND; MAXIMUM SATISFIABILITY; STABILITY NUMBER;
D O I
10.1016/0377-2217(94)90125-2
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We present a branch and bound algorithm for minimizing a quadratic pseudo-Boolean function f(x). At each node of the search tree the lower bound is computed in three phases and is equal to b1 + b2 + b3. Computation of b1 is based upon roof duality, b2 uses the characterization of some positive quadratic posiforms associated with the directed cycles of the implication graph of Aspvall, P Tarjan and b3 is computed by searching in a posiform of degree 4 some subfunctions which cannot be equal to zero. These subfunctions are found by using the notion of implication between literals. Computational results on several hundred test problems with up to 100 variables demonstrate the efficiency of this lower bound.
引用
收藏
页码:106 / 115
页数:10
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