Abstract
We characterized a class of optimization problems for which the parellel dynamics of positive automata networks is a hill-climbing strategy. Our formalism allows to get directly the equivalence between dual optimization problems generalizing the results obtained by A.J.E.M. Janssen [Inform. Process. Lett. 37 (1991)], where a neural network is related to a constrained optimization problem.
| Original language | English |
|---|---|
| Pages (from-to) | 339-343 |
| Number of pages | 5 |
| Journal | Information Processing Letters |
| Volume | 42 |
| Issue number | 6 |
| DOIs | |
| State | Published - 24 Jul 1992 |
| Externally published | Yes |
Keywords
- Automata networks
- combinatorial problems
- distributed computing
- hill-climbing
- optimization