Heuristics for Backplane Ordering
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Abstract
The Board Permutation Problem, a backplane ordering problem, has been previously shown to be NP - hard. We develop here several heuristics for the Board Permutation Problem. These heuristics produce solutions that are locally optimal with respect to some nontrivial transforms. The heuristics are analytically shown to be m/3- approximate, where m is the number of nets in a problem instance. The heuristics have been shown experimentally to have quite acceptable behavior. Several of the heuristics make use of a Statistical Mechanics technique (simulated annealing) for thermal equilibrium analysis in producing their solution. Note: Abstract extracted from PDF file via OCR