 |
    |
DNA-Like Genomes for Evolution in silico
Michael West, Max H. Garzon, and Derrel Blain
Computer Science,
University of Memphis
373 Dunn Hall,
Memphis, TN 38152
{mrwest1,mgarzon}@memphis.edu,
derrelb@earthlink.net
Abstract. We explore the advantages of DNA-like genomes for evolutionary computation in silico. Coupled with simulations of chemical reactions, these genomes offer greater efficiency, reliability, scalability, new computationally feasible fitness functions, and more dynamic evolutionary algorithms. The prototype application is the decision problem of HPP (the Hamiltonian Path Problem.) Other applications include pre-processing of protocols for biomolecular computing and novel fitness functions for evolution in silico.
LNCS 2723, p. 413 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003