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The Research and Application of DNA Computing in Innovative Design

Author: WuHaiLong
Tutor: XiangLaiSheng
School: Shandong Normal University
Course: Management Science and Engineering
Keywords: DNA Computing Innovative Design Skeleton Structure DNA Coding
CLC: TP38
Type: Master's thesis
Year: 2012
Downloads: 39
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Abstract


DNA computation is a new computing model of new biological computing system, whosecalculation tool is biochemical reactions and computing medium is biochemical molecules.DNA computation has some advantages, like a high speed of computing, a high degree ofparallelism and a huge amount of information storage, and it has broad prospects. Theinnovative design is a creative practice, in other words, which is an input the output processessentially. A good design is made up of many parts. In the combination process, the singlemost optimal individual portfolio often can not achieve the best results. It is very inefficient thatsolving such problems rely on the designers’experience. If we see this combination of designrequirements as the constraints, and see purpose of the design as fit for the conditions of theoptimal solution, then such a combination of the problem into a combinatorial optimizationproblem, Then such a combination of the problem translate into a combinatorial optimizationproblem. Using DNA computation can solve the corresponding problem quickly and efficiently.The encoding issue is a most fundamental one in DNA based computing. The SimulatedAnnealing and Genetic Algorithm was proposed for DNA sequences design，which can improvevalidity and reliability of computing. The authors set up the mathematical model by analyzingand choosing appropriate constraint of DNA encoding. It solves the multi-objectiveoptimization problem by Simulated Annealing and Genetic Algorithm. At last the comparisonof the results with the known DNA sequences is made to prove the efficiency of the method.A product has many process before it has been manufactured, idea, conceptual design, modelingand actual manufactured. The process of translating a preliminary idea of the product into thedesign phase requires a lot of design experience and wisdom with years of experience in thedesign staff. This process according to the needs of the user’s resume demand model, andexpress features and functionality of the components with the method of norms and standards.For a design product which has n parts, each part has m choices, so there are mnchoices. It establish compatible mapped model by mathematics and computers, According to the actualcombinations of components and component properties. And then correspond to mapping andfunctions one by one. It converted to meet the design requirements, which are specificrestrictions on the design solution. Improved method to analyze the physical model based onbone structure, and added bone curvature of parameters to describe the entity. It is broken downinto several parts and equipment through the study by bone structure of design entities. And itabstract model of components and equipment in the innovative design for the commoncombination problems, and further extension to the basic model of the NP problem.Based on depth studying of DNA computing principles, methods and computational model, finda new ways to solve the combinatorial optimization problems by DNA computing. Detaileddescription of DNA computation is how to apply to the innovative design process by aChandelier example. First, discredited a continuous parameter, divided into several intervalsand coded the DNA encoding, and then encoded using fixed length coding and variable lengthencoding in two ways. Based on DNA computation model by closed-loop DNA model, and setthe corresponding parameters of sub-sites in the closed-loop DNA. Under the restriction endnucleases and related parameters in turn react, and finally produce a large number of coding. Itmakes DNA molecular chain length as the fitness function threshold and finds the targetsolution to meet the requirements by gel electrophoresis techniques. Experimental results provethe effectiveness and feasibility of the method through computer simulation.

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