DNA-like genomes for evolution in silico

Authors:
Michael West;Max H. Garzon;Derrel Blain
Affiliations:
Computer Science, University of Memphis, Memphis, TN;Computer Science, University of Memphis, Memphis, TN;Computer Science, University of Memphis, Memphis, TN
Venue:
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Year:
2003

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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.