Linear optimization for ecological indices based on aggregation functions

Gleb Beliakov, Andrew Geschke, Simon James, Dale Nimmo

Research output: Book chapter/Published conference paperConference paperpeer-review

2 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems
Place of PublicationGermany
PublisherSpringer-Verlag London Ltd.
Pages411-422
Number of pages12
Volume611
ISBN (Print)9783319405803
DOIs
Publication statusPublished - 2016
Event16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: IPMU 2016 - Eindhoven University of Technology , Eindhoven, Netherlands
Duration: 20 Jun 201624 Jun 2016
http://is.ieis.tue.nl/ipmu/

Publication series

NameCommunications in Computer and Information Science
Volume611
ISSN (Print)1865-0929

Conference

Conference16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Country/TerritoryNetherlands
CityEindhoven
Period20/06/1624/06/16
Internet address

Fingerprint

Dive into the research topics of 'Linear optimization for ecological indices based on aggregation functions'. Together they form a unique fingerprint.

Cite this