DNA-like genomes for evolution in silico
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. © Springer-Verlag Berlin Heidelberg 2003.
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Recommended Citation
West, M., Garzon, M., & Blain, D. (2003). DNA-like genomes for evolution in silico. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2723, 413-424. https://doi.org/10.1007/3-540-45105-6_50
