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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Xikui Li Yan |
| Copyright Year | 2007 |
| Description | Author affiliation: Shandong Univ. of Sci. & Technol., Qingdao (Liu Xikui; Li Yan) |
| Abstract | Adleman's successful solution of a seven-vertex instance of the NP-complete Hamiltonian directed path problem by a DNA algorithm initiated the field of biomolecular computing. The graph-theoretic parameter that has probably received the most attention over the years is the chromatic number. The coloring problem is an NP-Complete problem. We provide DNA algorithms based on the molecular biology techniques to compute the vertex chromatic number of a given graph. The algorithms determine not merely the existence of a solution but yield all solutions (if any). The algorithm is highly parallel and has satisfactory fidelity. This work represents further evidence for the ability of DNA computing to solve NP-Complete problems. |
| Starting Page | 450 |
| Ending Page | 454 |
| File Size | 185756 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424415311 |
| DOI | 10.1109/ICAL.2007.4338605 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Automation Splicing Biological system modeling Computational modeling Educational institutions Algorithm DNA Computing Chromatic Number Automata Biology computing Vertex Coloring Cryptography DNA computing Logistics |
| Content Type | Text |
| Resource Type | Article |
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