Universiteit Leiden

nl en

Andre Deutz

Docent / gast

Naam
Dr. A.H. Deutz
Telefoon
+31 71 527 7071
E-mail
a.h.deutz@liacs.leidenuniv.nl

Docent / gast

  • Wiskunde en Natuurwetenschappen
  • Leiden Inst Advanced Computer Sciences

Werkadres

Snellius
Niels Bohrweg 1
2333 CA Leiden
Kamernummer 119

Contact

  • Emmerich T.M., Yang K., Deutz A., Wang H. & Fonseca C. M. (2016), A Multicriteria Generalization of Bayesian Global Optimization. In: Pardalos M.P., Zhigljavsky A., Zilinskas J. (red.) Advances in Stochastic and Deterministic Global Optimization. nr. 107: Springer. 229-243.boekdeel
  • Michael T. M.Emmerich, Deutz A.H., Li L., Asep Maulana A. & Yevseyeva I. (2016), Maximizing Consensus in Portfolio Selection in Multicriteria Group Decision Making, Procedia Computer Science 100: 848–855.artikel in tijdschrift (refereed)
  • Wang H., Ren Y., Deutz A. & Michael T. M.Emmerich (2016), On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization. In: Schuetze O., Trujillo L., Legrand P., Maldonado Y. (red.) NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. nr. Studies in Computational Intelligence 663. International Publishing: Springer.boekdeel
  • K Yang, L Li, A Deutz, T Bäck & M Emmerich (2016), Preference-based multiobjective optimization using truncated expected hypervolume improvement.congresbijdrage
  • K Yang, A Deutz, Z Yang, T Back & M Emmerich (2016), Truncated expected hypervolume improvement: Exact computation and application.congresbijdrage
  • Kerschke P., Wang H., Preuss M., Grimme C., Deutz A., Trautmann H. & Michael T. M.Emmerich (2016), Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. In: Handl J., Hart E., Lewis P. R. , López-Ibáñez M., Ochoa G., Paechter B. (red.) Parallel Problem Solving from Nature – PPSN XIV.: Springer International Publishing. 962-972.congresbijdrage (refereed)
  • Hupkens I., Deutz A.H., Yang K & Emmerich M.T.M. (2015), Faster Exact Algorithms for Computing Expected Hypervolume Improvement. In: Proceedings EMO.. 65-79.congresbijdrage (refereed)
  • Michael T. M.Emmerich, Deutz A.H. & Yevseyeva I. (2015), A Bayesian Approach to Portfolio Selection in Multicriteria Group Decision Making, Procedia Computer Science 64(2015): 993-1000.artikel in tijdschrift (refereed)
  • Hupkens I., Deutz A., Yang K. & Emmerich M. (2015), Faster Exact Algorithms for Computing Expected Hypervolume Improvement. In: Gaspar-Cunha A., Henggeler Antunes C., Coello C. (red.) Lecture Notes in Computer Science. nr. 9019 2015. Guimaraes: Springer Link. 65-79.congresbijdrage (refereed)
  • Hupkens I., Emmerich M.T.M. & Deutz A.H. (2014), Faster Computation of Expected Hypervolume Improvement nr. TR 2014-03. Leiden, The Netherlands: LIACS, Leiden University.rapport
  • Emmerich M.T.M., Deutz A.H. & Yevseyeva I. (2014), On Reference Point Free Weighted Hypervolume Indicators based on Desirability Functions and their Probabilistic Interpretation, Procedia Technology 16: 532-541.artikel in tijdschrift (refereed)
  • Emmerich M.T.M. & Deutz A.H. (2014), Time Complexity and Zeros of the Hypervolume Indicator Gradient Field. In: Proceedings EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III nr. Studies in Computational Intelligence 500: Springer International Publishling. 169-193.congresbijdrage (refereed)
  • Emmerich M.T.M., Deutz H.A., Schütze O., Bäck T.H.W., Tantar E., Tantar A.-A., Del Moral P., Legrand P., Bouvry P. & Coello C.C. (Red.) (2013), EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV Advances in Intelligent Systems and Computing: Springer-Verlag.boekredactie
  • Emmerich M.T.M., Deutz A.H., Kruisselbrink J.W. & Shukla P.K. (2013), Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation. In: Proceedings Seventh International Conference on Evolutionary Multi-Criterion Optimization (EMO 2013) nr. Lecture Notes in Computer Science: Springer-Verlag. 111-127.congresbijdrage (refereed)
  • Shukla P.K., Emmerich M.T.M. & Deutz A.H. (2013), A Theoretical Analysis of Curvature Based Preference Models. In: Proceedings Seventh International Conference on Evolutionary Multi-Criterion Optimization (EMO 2013) nr. Lecture Notes in Computer Science: Springer-Verlag. 367-382.congresbijdrage (refereed)
  • Emmerich M.T.M., Deutz A.H. & Kruisselbrink J.W. (2013), On Quality Indicators for Black-Box Level Set Approximation. In: Proceedings EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation. 157-185.congresbijdrage (refereed)
  • Emmerich M.T.M. & Deutz A.H. (Red.) (2013), EVOLVE 2013 - A Bridge Between Probability. Set Oriented Numerics, and Evolutionary Computation - Short Paper and Extended Abstract Proceedings: LIACS, Leiden University.boekredactie
  • Emmerich M.T.M., Deutz A.H. & Kruisselbrink J.W. (2012), The Cone-Based Hypervolume Indicator: Definition, Computation and Interpretation: LIACS, Universiteit Leiden.rapport
  • Emmerich M.T.M., Deutz A.H., Kruisselbrink J.W. & Reehuis E. (2012), Evolutionary Approximation of Level Sets. In: EVOLVE 2012, A bridge between probability, set-oriented numerics, and evolutionary computation.congresbijdrage (refereed)
  • Wagner T, Emmerich M.T.M., Deutz A.H. & Ponweiser W. (2011), On Expected-Improvement Criteria for Model-based Multi-objective Optimization. In: Parallel Problem Solving from Nature (PPSN XI) Lecture Notes in Computer Science: Springer. 718-727.congresbijdrage (refereed)
  • Kruisselbrink J.W., Emmerich M.T.M., Deutz A.H. & Bäck T.H.W. (2011), Exploiting Overlap When Searching for Robust Optima. In: Parallel Problem Solving from Nature (PPSN XI) Lecture Notes in Computer Science: Springer. 63-72.congresbijdrage (refereed)
  • Emmerich M.T.M., Deutz A.H. & Kruisselbrink J.W. (2011), On Quality Indicators for Finite Level-Set Representations. In: EVOLVE 2011 A bridge between Probability, Set Oriented Numerics and Evolutionary Computation.congresbijdrage (refereed)
  • Emmerich M.T.M., Deutz A.H. & Klinkenberg J.W. (2011), Hypervolume-based expected improvement: Monotonicity properties and exact computation. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC 2011): IEEE. 2147-2154.congresbijdrage (refereed)
  • Kruisselbrink J.W., Reehuis E., Deutz A.H., Bäck T.H.W. & Emmerich M.T.M. (2011), Using the uncertainty handling CMA-ES for finding robust optima. In: Proceedings of the 13th annual conference on Genetic and evolutionary computation: ACM. 877-884.congresbijdrage (refereed)
  • Reehuis E., Kruisselbrink J.W., Deutz A.H., Bäck T.H.W. & Emmerich M.T.M. (2011), Multiobjective optimization of water distribution networks using SMS-EMOA. In: Proceedings Evolutionary and Deterministic Methods for Design, Optimization and Control: CIMNE. 269-279.congresbijdrage (refereed)
  • Emmerich M.T.M. & Deutz A.H. (2010), Variance Monotonicity of the Expected Improvement of the 2D Hypervolume in Pareto Optimization. Leiden: Universiteit Leiden.rapport
  • Kruisselbrink J.W., Emmerich M.T.M., Deutz A.H. & Bäck T.H.W. (2010), A Robust Optimization Approach using Kriging Metamodels for Robustness Approximation in the CMA-ES. In: IEEE Congress on Evolutionary Computation (CEC 2010): IEEE. 1-8.congresbijdrage (refereed)
  • Emmerich M.T.M., Deutz A.H., Li R. & Kruisselbrink J.W. (2010), Getting lost or getting trapped: on the effect of moves to incomparable points in multiobjective hillclimbing. In: GECCO (Companion). 1963-1966.congresbijdrage (refereed)
  • Klinkenberg J.W., Emmerich M.T.M., Deutz A.H., Shir O.M. & Bäck T.H.W. (2010), A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization. In: Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems: Springer-Verlag.boekdeel
  • Emmerich M.T.M., Li B.V.Y., Bender Andreas, Faddiev E., Kruisselbrink J.W., Deutz A.H., Horst Eelke van der, IJzerman Adriaan P. & Bäck T.H.W. (2009), Analyzing Molecular Landscapes using Random walks and Information Theory [poster], Chemistry Central Journal 3(Suppl. 1).artikel in tijdschrift (refereed)
  • Emmerich M.T.M., Li B.V.Y., Bender A., Faddiev E., Kruisselbrink J.W., Deutz A.H., Horst E. van der, IJzerman A.P. & Bäck T.H.W. (2008), Analysing Molecular Landscapes Using Random Walks and Information Theory. In: German Conference on Chemoinformatics.. Goslar. 73.congresbijdrage (refereed)
  • Klinkenberg W., Emmerich M.T.M., Deutz A.H., Shir O.M. & Bäck T.H.W. (2008), A Reduced-Cost SMS-EMOA using Kriging, Self-Adaptation, and Parallelization. In: M. Ehrgott et al (Red.) Conference on Multicriteria Decision Making 2008.congresbijdrage (refereed)
  • Klinkenberg J.W., Emmerich M.T.M. & Deutz A.H. (2008), Expected improvement of the S-metric for finite Pareto front approximations. In: Conference on Multicriteria Decision Making 2008: M. Ehrgott et al.congresbijdrage (refereed)
  • Emmerich M.T.M., Deutz A.H. & Klinkenberg J.W. (2008), The computation of the expected improvement in dominated hypervolume of Pareto front approximations. Leiden: Universiteit Leiden.rapport
  • Emmerich M.T.M., Deutz A.H. & Beume N. (2007), Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric, Hybrid Metaheuristics: 140-156.artikel in tijdschrift (refereed)
  • Emmerich M.T.M. & Deutz A.H. (2007), Test Problems based on Lame Superspheres. In: Evolutionary Multiobjective Optimization 2007 (EMO2007) Lecture notes in Computer Science: Springer. 922-936.congresbijdrage (refereed)
  • Deutz A.H., Vliet R. van & Hoogeboom H.J. (2007), High Spies, or How to win a programming contest. In: Crescenzi P., Prencipe G., Pucci G. (Red.) Fun with Algorithms, FUN 2007 Lecture Notes in Computer Science. 93-107.congresbijdrage (refereed)
  • Emmerich M.T.M. & Deutz A.H. (2006), A family of test problems with pareto-fronts of variable curvature based on super-spheres. In: MCDM 2006.congresbijdrage (refereed)

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