This research examines the suitability of genetic algorithms to the pr
oblem of facility layout over time. Genetic algorithms use the princip
les of genetics to evolve an initial population of solutions into a po
pulation of superior solutions. One advantage of this approach is its
ability to include multiple constraints as well as non-linear and non-
convex objective functions. We present a genetic procedure for the mul
ti-period facility layout problem and report results for two test prob
lems.