Abstract
The potential of Boltzmann machines to cope with difficult combinatorial optimization problems is investigated. A discussion of various (parallel) models of Boltzmann machines is given based on the theory of Markov chains. A general strategy is presented for solving (approximately) combinatorial optimization problems with a Boltzmann machine. The strategy is illustrated by discussing the details for two different problems, namely MATCHING and GRAPH PARTITIONING.
| Original language | English |
|---|---|
| Pages (from-to) | 437-465 |
| Number of pages | 29 |
| Journal | Algorithmica |
| Volume | 6 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1991 |
| Externally published | Yes |
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