Virus-enhanced genetic algorithms inspired by DNA computing

DNA computing is a new promising paradigm to develop an alternative generation of computers. Such approach is based on biochemical reactions using DNA strands which should be carefully designed. To this purpose a special DNA sequences design tool is required. The primary objective of this contributi...

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Hauptverfasser:	Mulawka, Jan J., Wąsiewicz, Piotr, Piętak, Katarzyna
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Binary String Biological and medical sciences Computer science control theory systems Exact sciences and technology Fitness Function Fitness Function Evaluation Fundamental and applied biological sciences. Psychology General aspects Learning and adaptive systems Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Molecular Computing Search Solution Space
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creator	Mulawka, Jan J. Wąsiewicz, Piotr Piętak, Katarzyna
description	DNA computing is a new promising paradigm to develop an alternative generation of computers. Such approach is based on biochemical reactions using DNA strands which should be carefully designed. To this purpose a special DNA sequences design tool is required. The primary objective of this contribution is to present a virus-enhanced genetic algorithms for global optimization to create a set of DNA strands. The main feature of the algorithms are mechanisms included specially for searching solution space of problems with complex bounds. Formulae, describing bounds of power of sequences’ sets, which satisfy criteria and estimation functions are expressed. A computer program, called Mismatch, was implemented in C++ and runs on Windows NT platform.
doi_str_mv	10.1007/BFb0095141
format	Conference Proceeding
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subjects	Applied sciences Artificial intelligence Binary String Biological and medical sciences Computer science control theory systems Exact sciences and technology Fitness Function Fitness Function Evaluation Fundamental and applied biological sciences. Psychology General aspects Learning and adaptive systems Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Molecular Computing Search Solution Space
title	Virus-enhanced genetic algorithms inspired by DNA computing
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