Computing Efficient Solutions of Nonconvex Multi-Objective Problems Via Scalarization

dc.contributor.author Kasimbeyli R.
dc.date.accessioned 2023-06-16T15:06:28Z
dc.date.available 2023-06-16T15:06:28Z
dc.date.issued 2011
dc.description 11th WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision, ISCGAV'11, 11th WSEAS International Conference on Systems Theory and Scientific Computation, ISTASC'11 -- 23 August 2011 through 25 August 2011 -- Florence -- 87580 en_US
dc.description.abstract This paper presents a new method for scalarization of nonlinear multi-objective optimization problems. We introduce a special class of monotonically increasing sublinear scalarizing functions and show that the scalar optimization problem constructed by using these functions, enables to compute complete set of weakly efficient, efficient, and properly efficient solutions of multi-objective optimization problems without convexity and bound-edness conditions. en_US
dc.identifier.isbn 9.78E+12
dc.identifier.scopus 2-s2.0-82655164326
dc.identifier.uri https://hdl.handle.net/20.500.14365/3947
dc.language.iso en en_US
dc.relation.ispartof Recent Advances in Signal Processing, Computational Geometry and Systems Theory - ISCGAV'11, ISTASC'11 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Cone separation theorem en_US
dc.subject Conic scalarization method en_US
dc.subject Multi-objective optimization en_US
dc.subject Proper efficiency en_US
dc.subject Sublinear scalarizing functions en_US
dc.subject Multi objective en_US
dc.subject Proper efficiency en_US
dc.subject Scalarization method en_US
dc.subject Separation theorem en_US
dc.subject Sublinear en_US
dc.subject Signal processing en_US
dc.subject System theory en_US
dc.subject Theorem proving en_US
dc.subject Multiobjective optimization en_US
dc.title Computing Efficient Solutions of Nonconvex Multi-Objective Problems Via Scalarization en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.scopusid 35146065000
gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.description.departmenttemp Kasimbeyli, R., Izmir University of Economics, Department of Industrial Systems Engineering, Sakarya Caddesi 156, 35330 Izmir, Turkey en_US
gdc.description.endpage 198 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 193 en_US
gdc.description.wosquality N/A
gdc.index.type Scopus
gdc.scopus.citedcount 2
gdc.virtual.author Kasimbeyli̇, Refail
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