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 |
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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