  Evolutionary algorithms borrow from biology the concepts of mutation and
selection in order to evolve optimized solutions to known problems. The GENETIS
collaboration is developing genetic algorithms for designing antennas that are
more sensitive to ultra-high energy neutrino induced radio pulses than current
designs. There are three aspects of this investigation. The first is to evolve
simple wire antennas to test the concept and different algorithms. Second,
optimized antenna response patterns are evolved for a given array geometry.
Finally, antennas themselves are evolved using neutrino sensitivity as a
measure of fitness. This is achieved by integrating the XFdtd finite-difference
time-domain modeling program with simulations of neutrino experiments.
