Non-deterministic Algorithm for Routing Optimization: A Case Study
A routing optimization problem is solved by a non- deterministic algorithm in this paper. The DNA computing is applied for a case of cable trench problem. The cable trench problem is a combination of the shortest path problem and the minimum spanning tree problem, which makes it difficult to be solv...
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| Vydáno v: | ICICIC 2007 : second International Conference on Innovative Computing, Information and Control : 5-7 September 2007 s. 423 |
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| Jazyk: | angličtina japonština |
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IEEE
01.09.2007
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| ISBN: | 0769528821, 9780769528823 |
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| Abstract | A routing optimization problem is solved by a non- deterministic algorithm in this paper. The DNA computing is applied for a case of cable trench problem. The cable trench problem is a combination of the shortest path problem and the minimum spanning tree problem, which makes it difficult to be solved by a conventional computing method. DNA computing is applied to overcome the limitation of a silicon-based computer. The numerical values are represented by the fixed-length DNA strands, and the weights are varied by the melting temperatures. Biochemical techniques with DNA thermodynamic properties are used for effective local search of the optimal solution. |
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| AbstractList | A routing optimization problem is solved by a non- deterministic algorithm in this paper. The DNA computing is applied for a case of cable trench problem. The cable trench problem is a combination of the shortest path problem and the minimum spanning tree problem, which makes it difficult to be solved by a conventional computing method. DNA computing is applied to overcome the limitation of a silicon-based computer. The numerical values are represented by the fixed-length DNA strands, and the weights are varied by the melting temperatures. Biochemical techniques with DNA thermodynamic properties are used for effective local search of the optimal solution. |
| Author | Watada, J. Don Jyh-Fu Jeng |
| Author_xml | – sequence: 1 surname: Don Jyh-Fu Jeng fullname: Don Jyh-Fu Jeng organization: Production & Syst. Waseda Univ., Fukuoka – sequence: 2 givenname: J. surname: Watada fullname: Watada, J. organization: Production & Syst. Waseda Univ., Fukuoka |
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| Snippet | A routing optimization problem is solved by a non- deterministic algorithm in this paper. The DNA computing is applied for a case of cable trench problem. The... |
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| StartPage | 423 |
| SubjectTerms | Cost function DNA computing Gradient methods Polynomials Production systems Routing Shortest path problem Temperature Thermodynamics Tree graphs |
| Title | Non-deterministic Algorithm for Routing Optimization: A Case Study |
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