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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 387-403 |
| Number of pages | 17 |
| Journal | Journal of the ACM (JACM) |
| Volume | 35 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 1 1988 |
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Information Systems
- Hardware and Architecture
- Artificial Intelligence