Evolving BlenX programs to simulate the evolution of biological networks
We present a formal approach to study the evolution of biological networks. We use the Beta Workbench and its BlenX language to model and simulate networks in connection with evolutionary algorithms. Mutations are clone on the structure of BlenX programs and networks are selected at any generation by using a fitness function. The feasibility of the approach is illustrated with a simple example. (c) 2008 Elsevier B.V. All rights reserved.
evolution evolutionary algorithms process calculi stochastic simulation