Linear optimization for ecological indices based on aggregation functions
Contribuinte(s) |
Carvalho, J. Lesot, M. Kaymak, U. Vieira, S. Bouchon-Meunier, B. Yager, R. |
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Data(s) |
01/01/2016
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Springer |
Relação |
http://dro.deakin.edu.au/eserv/DU:30085787/beliakov-linearoptimization-2016.pdf http://dro.deakin.edu.au/eserv/DU:30085787/beliakov-lineroptimization-evid-2016.pdf http://www.dx.doi.org/10.1007/978-3-319-40581-0_33 |
Direitos |
2016, Springer International Publishing Switzerland |
Palavras-Chave | #Aggregation functions #Linear programming #Weight learning #Ecology #Biodiversity |
Tipo |
Book Chapter |