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A global heuristically search algorithm for DNA encoding
引用本文:Zhang Kai,Pan Linqiang and Xu Jin (The Key Laboratory of Image Processing and Intelligent Control,Department of Control Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China). A global heuristically search algorithm for DNA encoding[J]. 自然科学进展(英文版), 2007, 17(6): 745-479
作者姓名:Zhang Kai  Pan Linqiang and Xu Jin (The Key Laboratory of Image Processing and Intelligent Control  Department of Control Science and Engineering  Huazhong University of Science and Technology  Wuhan 430074  China)
作者单位:The Key Laboratory of Image Processing and Intelligent Control,Department of Control Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China
基金项目:国家自然科学基金;教育部高等学校博士学科点专项科研基金;教育部高校新世纪杰出人才项目
摘    要:A new efficient algorithm is developed to design DNA words with equal length for DNA computing. The algorithm uses a global heuristic optimizing search approach and converts constraints to a carry number to accelerate the convergence, which can generate a DNA words set satisfying some thermodynamic and combinatorial constraints. Based on the algorithm, a software for DNA words design is developed.


A global heuristically search algorithm for DNA encoding
Zhang Kai,Pan Linqiang,Xu Jin. A global heuristically search algorithm for DNA encoding[J]. Progress in Natural Science, 2007, 17(6): 745-479
Authors:Zhang Kai  Pan Linqiang  Xu Jin
Abstract:A new efficient algorithm is developed to design DNA words with equal length for DNA computing. The algorithm uses a global heuristic optimizing search approach and converts constraints to a carry number to accelerate the convergence, which can generate a DNA words set satisfying some thermodynamic and combinatorial constraints. Based on the algorithm, a software for DNA words design is developed.
Keywords:DNA computing  encoding  heuristic optimizing search
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