Joerg Fliege

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Armin DekorsyUniversity of BremenVerified email at ant.uni-bremen.de
Maria BattarraSenior Lecturer, School of Management, University of BathVerified email at bath.ac.uk
Andrew CollinsProfessor of Genetic Epidemiology and Bioinformatics, University of SouthamptonVerified email at soton.ac.uk
Walton CoutinhoFederal University of PernambucoVerified email at ufpe.br
Luis Nunes VicenteLehigh UniversityVerified email at lehigh.edu
Diana EcclesUniversity of SouthamptonVerified email at soton.ac.uk
Ralf WernerProfessor für Wirtschaftsmathematik, Universität AugsburgVerified email at math.uni-augsburg.de
A. Ismael F. VazUniversity of MinhoVerified email at dps.uminho.pt
Francisco Saldanha da GamaUniversity of Lisbon, PortugalVerified email at fc.ul.pt
Emilio CarrizosaIMUS - Universidad de Sevilla, SpainVerified email at us.es
Christof BüskensUniversity of BremenVerified email at math.uni-bremen.de
Márton BenedekCentre for Economic and Regional Studies, Budapest University of Technology and Economics, CorvinusVerified email at krtk.mta.hu
Matthias GerdtsUniversität der Bundeswehr MünchenVerified email at unibw.de
Jérôme KunegisUniversité de NamurVerified email at unamur.be
Gabriele EichfelderTU IlmenauVerified email at tu-ilmenau.de
Stephan DempeTU Bergakademie FreibergVerified email at tu-freiberg.de
Tolga BektaşProfessor of Logistics Management, University of LiverpoolVerified email at liverpool.ac.uk
Julia BennellProfessor of Management Science, University of LeedsVerified email at leeds.ac.uk
Ben MacArthurAlan Turing Institute, University of SouthamptonVerified email at soton.ac.uk
Jacek BrodzkiProfessor of Mathematics, University of SouthamptonVerified email at soton.ac.uk

Joerg Fliege

Professor of Operational Research, University of Southampton

Verified email at soton.ac.uk

Optimization Operations Research Data Science


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Steepest descent methods for multicriteria optimization J Fliege, BF Svaiter Mathematical methods of operations research 51 (3), 479-494, 2000	485	2000
Newton’s method for multiobjective optimization J Fliege, LMG Drummond, BF Svaiter SIAM J. Optim 20 (2), 602-626, 2009	292	2009
The distribution of points on the sphere and corresponding cubature formulae J Fliege, U Maier IMA Journal of Numerical Analysis 19 (2), 317-334, 1999	154	1999
Robust multiobjective optimization & applications in portfolio optimization J Fliege, R Werner European Journal of Operational Research 234 (2), 422-433, 2014	139	2014
The Unmanned Aerial Vehicle Routing and Trajectory Optimisation Problem, a taxonomic review W Pereira Coutinho, M Battara, J Fliege Computers & Industrial Engineering, 2018	95	2018
Machine learning approaches for the discovery of gene–gene interactions in disease data R Upstill-Goddard, D Eccles, J Fliege, A Collins Briefings in bioinformatics 14 (2), 251-260, 2013	91	2013
A two-stage approach for computing cubature formulae for the sphere J Fliege, U Maier Mathematik 139T, Universitat Dortmund, Fachbereich Mathematik, Universitat …, 1996	90	1996
Multicriteria approach to bilevel optimization J Fliege, LN Vicente Journal of optimization theory and applications 131 (2), 209-225, 2006	89	2006
Gap-free computation of Pareto-points by quadratic scalarizations J Fliege Mathematical Methods of Operations Research 59 (1), 69-89, 2004	82	2004
Some personal views on the current state and the future of locational analysis P Avella, S Benati, LC Martinez, K Dalby, D Di Girolamo, B Dimitrijevic, ... European Journal of Operational Research 104 (2), 269-287, 1998	62	1998
A Method for Constrained Multiobjective Optimization Based on SQP Techniques J Fliege, AIF Vaz SIAM Journal on Optimization 26 (4), 2091–2119, 2016	52	2016
How changing root system architecture can help tackle a reduction in soil phosphate (P) levels for better plant P acquisition J Heppell, P Talboys, S Payvandi, KC Zygalakis, J Fliege, PJA Withers, ... Plant, cell & environment 38 (1), 118-128, 2015	48	2015
An efficient interior-point method for convex multicriteria optimization problems J Fliege Mathematics of Operations Research 31 (4), 825, 2006	42	2006
Generalized goal programming: Polynomial methods and applications E Carrizosa, J Fliege Mathematical Programming 93 (2), 281-303, 2002	42	2002
Constructing approximations to the efficient set of convex quadratic multiobjective problems. J Fliege, A Heseler Ergebnisberichte Angewandte Mathematik 211, Universität Dortmund …, 2002	39*	2002
Complexity of gradient descent for multiobjective optimization J Fliege, I Vaz, L Vicente Optimization Methods and Software, 2018	38	2018
In-network-processing: Distributed consensus-based linear estimation H Paul, J Fliege, A Dekorsy IEEE Communications Letters 17 (1), 59-62, 2012	38	2012
Numerical methods for stochastic programs with second order dominance constraints with applications to portfolio optimization R Meskarian, H Xu, J Fliege European Journal of Operational Research 216 (2), 376-385, 2012	31	2012
Stochastic Multiobjective Optimization: Sample Average Approximation and Applications J Fliege, H Xu Journal of Optimization Theory and Applications, 1-28, 2011	31	2011
Integration nodes for the sphere J Fliege	31	2009

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