Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/682

 Title: DNA Simulation of Genetic Algorithms: Fitness Computation Authors: Calvino, MariaGomez, NuriaMingo, Luis Keywords: Genetic AlgorithmsFitness FunctionDNA ComputingEvolutionary Computing Issue Date: 2007 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: In this paper a computational mode is presented base on DNA molecules. This model incorporates the theoretical simulation of the principal operations in genetic algorithms. It defines the way of coding of individuals, crossing and the introduction of the individuals so created into the population. It resolves satisfactorily the problems of fitness coding. It shows also the model projection for the resolution of TSP. This is the basic step that will allow the resolution of larger examples of search problems beyond the scope of exact exponentially sized DNA algorithms like the proposed by Adleman [Adleman, 1994] and Lipton [Lipton, 1995]. Description: * This work has been partially supported by Spanish Project TIC2003-9319-c03-03 “Neural Networks and Networks of Evolutionary Processors”. URI: http://hdl.handle.net/10525/682 ISSN: 1313-0463 Appears in Collections: Volume 14 Number 3

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