Springer Verlag (Germany), Communications in Computer and Information Science, p. 411-422, 2016
DOI: 10.1007/978-3-319-40581-0_33
Full text: Unavailable
We consider an optimization problem in ecology where our objective is to maximize biodiversity with respect to different land-use allocations. As it turns out, the main problem can be framed as learning the weights of a weighted arithmetic mean where the objective is the geometric mean of its outputs. We propose methods for approximating solutions to this and similar problems, which are non-linear by nature, using linear and bilevel techniques.