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Resource constrained assignment problems

✍ Scribed by Ronny Aboudi; Kurt Jørnsten


Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
920 KB
Volume
26
Category
Article
ISSN
0166-218X

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In this paper, we discuss analog neural approaches to the quadratic assignment problem (QAP). These approaches employ a hard constraints scheme to restrict the domain space, and are able to obtain much improved solutions over conventional neural approaches. Since only a few strong heuristics for QAP

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Let Qc,, be the integer hull of the intersection of the assignment polytope with a given hyperplane H = {X = (xii) E Wx" : c:=, cJ=, ct,xij = r}. W e 5 .h ow that the problem of checking whether two given extreme points of Qc,r are nonadjacent c = (cl,) is a O-l matrix, and that it is NP-Complete if