Title :
Non-deterministic Algorithm for Routing Optimization: A Case Study
Author :
Jeng, Don Jyh-Fu ; Watada, Junzo
Author_Institution :
Production & Syst. Waseda Univ., Fukuoka
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.
Keywords :
biochemistry; biocomputing; thermodynamics; trees (mathematics); DNA computing; DNA thermodynamic properties; biochemical techniques; cable trench problem; minimum spanning tree problem; routing optimization problem; shortest path problem; Cost function; DNA computing; Gradient methods; Polynomials; Production systems; Routing; Shortest path problem; Temperature; Thermodynamics; Tree graphs;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.408