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http://dx.doi.org/10.3745/KIPSTB.2003.10B.7.769

DNA Computing Adopting DNA Coding Method to solve Maximal Clique Problem  

Kim, Eun-Kyoung (공주대학교 대학원 컴퓨터공학과)
Lee, Sang-Yong (공주대학교 정보통신공학부)
Publication Information
The KIPS Transactions:PartB / v.10B, no.7, 2003 , pp. 769-776 More about this Journal
Abstract
DNA computing has used to solve MCP (Maximal Clique Problem). However, when current DNA computing is applied to MCP. it can't efficiently express vertices and edges and it has a problem that can't look for solutions, by misusing wrong restriction enzyme. In this paper we proposed ACO (Algorithm for Code Optimization) that applies DNA coding method to DNA computing to solve MCP's problem. We applied ACO to MCP and as a result ACO could express DNA codes of variable lengths and generate codes without unnecessary vertices than Adleman's DNA computing algorithm could. In addition, compared to Adleman's DNA computing algorithm, ACO could get about four times as many as Adleman's final solutions by reducing search time and biological error rate by 15%.
Keywords
Character Recognition; Neural Networks; Recognition Unit; Type Recognition;
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