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Linear optimization for ecological indices based on aggregation functions

Beliakov, Gleb, Geschke, Andrew, James, Simon and Nimmo, Dale 2016, Linear optimization for ecological indices based on aggregation functions. In Carvalho, J., Lesot, M., Kaymak, U., Vieira, S., Bouchon-Meunier, B. and Yager, R. (ed), Information processing and management of uncertainty in knowledge-based systems, Springer, Cham, Switzerland, pp.411-422, doi: 10.1007/978-3-319-40581-0_33.

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Title Linear optimization for ecological indices based on aggregation functions
Author(s) Beliakov, GlebORCID iD for Beliakov, Gleb orcid.org/0000-0002-9841-5292
Geschke, Andrew
James, SimonORCID iD for James, Simon orcid.org/0000-0003-1150-0628
Nimmo, Dale
Title of book Information processing and management of uncertainty in knowledge-based systems
Editor(s) Carvalho, J.
Lesot, M.
Kaymak, U.
Vieira, S.
Bouchon-Meunier, B.
Yager, R.
Publication date 2016
Series Communications in computer and information science
Total chapters 67
Start page 411
End page 422
Total pages 11
Publisher Springer
Place of Publication Cham, Switzerland
Keyword(s) Aggregation functions
Linear programming
Weight learning
Ecology
Biodiversity
Summary 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.
Notes 16th International Conference, IPMU 2016 Eindhoven, The Netherlands, June 20–24, 2016 Proceedings, Part II
ISBN 9783319405803
ISSN 1865-0929
Language eng
DOI 10.1007/978-3-319-40581-0_33
Field of Research 080109 Pattern Recognition and Data Mining
080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2016, Springer International Publishing Switzerland
Persistent URL http://hdl.handle.net/10536/DRO/DU:30085787

Document type: Book Chapter
Collection: School of Information Technology
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