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About Using Neural Networks and Genetic Algorithms as Heuristics for NP-Complete Problems: M.Sc. thesis
Paradigms for using neural networks (NNs) and genetic algorithms (GAs) toheuristically solve boolean satisfiability (SAT) problems are presented. Resultsare presented for two-peak and false-peak SAT problems. Since SAT is NP-Complete,any other NP-Complete problem can be transformed into an equivalentSAT problem in polynomial time, and solved via either paradigm. This techniqueis illustrated for Hamiltonian circuit (HC) problems.
Detailed Information
| Author: | William McDuff Spears |
|---|---|
| Publication Year: | 1989 |
| ISBN: | 363999 |
| Pages: | 83 |
| Language: | English |
| File Size: | 0.163 |
| Format: | |
| Price: | FREE |
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