Abstract
The random, heuristic search algorithm called simulated annealing is considered for the problem of finding the maximum cardinality matching in a graph. It is shown that neither a basic form of the algorithm, nor any other algorithm in a fairly large related class of algorithms, can find maximum cardinality matchings such that the average time required grows as a polynomial in the number of nodes of the graph. In contrast, it is also shown for arbitrary graphs that a degenerate form of the basic annealing algorithm (obtained by letting “temperature” be a suitably chosen constant) produces matchings with nearly maximum cardinality in polynomial average time. © 1988, ACM. All rights reserved.
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CITATION STYLE
Sasaki, G. H., & Hajek, B. (1988). The time complexity of maximum matching by simulated annealing. Journal of the ACM (JACM), 35(2), 387–403. https://doi.org/10.1145/42282.46160
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