Is Evolutionary Computation Using DNA Strands Feasible?

José Rodrigo (), Juan Castellanos (), Fernando Arroyo () and Luis Fernando Mingo ()
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José Rodrigo: Technical University of Madrid, Department of Artificial Intelligence, Faculty of Informatics
Juan Castellanos: Technical University of Madrid, Department of Artificial Intelligence, Faculty of Informatics
Fernando Arroyo: Technical University of Madrid, Department of Computer Languages, Projects and Systems Technical College of Informatics
Luis Fernando Mingo: Technical University of Madrid, Department of Computer Languages, Projects and Systems Technical College of Informatics

Chapter Chapter 37 in Where Mathematics, Computer Science, Linguistics and Biology Meet, 2001, pp 423-434 from Springer

Abstract: Abstract Until now, there have not been many attempts at using DNA strands as the technological base for evolutionary computing. This paper tries to prove that such a computing paradigm can be achieved using DNA strands and also that it seems to be the most appropriate computing paradigm when computing with DNA strands. Classical genetic algorithm operations are translated into DNA strands and DNA operations in order to implement them. This new approach will solve the inconvenience of having great amounts of DNA strands if a NP problem must be solved.

Keywords: Genetic Algorithm; Evolutionary Algorithm; Evolutionary Computation; Fitness Evaluation; Computing Paradigm (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-015-9634-3_37

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DOI: 10.1007/978-94-015-9634-3_37

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