A simulated annealing schedule is derived. Its application to the standard cell placement and the traveling salesman problems results in a two to twenty-four times speedup over annealing schedules currently available in the literature. Since it uses only statistical quantities, the annealing schedule is applicable to general combinatorial optimization problems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Lam et al. (2003) studied this question.
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