More recently, Yeomans [39] studies the possibility to use a
co-evolutionary simulation-optimization approach to generate
multiple solution alternatives in a municipal SWM system. Each
alternative solution generated is such that it is sufficiently different
from the others, so that it can provide quite different planning
perspectives. The approach is tested on the same case study as in
Yeomans et al. [37].