DNA-Like Genomes for Evolution in silico

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.

• Type: Conference
• Year: 2003
• Where: GECCO
• Authors: Michael West, Max H. Garzon, Derrel Blain
• Keywords: Dynamic Evolutionary Algorithms, Feasible Fitness Functions, Fitness Functions, GECCO 2003