Juliane Müller

发表

Approximative solutions to the bicriterion Vehicle Routing Problem with Time Windows

Juliane Müller, Juliane Müller, 2010, Eur. J. Oper. Res..

Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems

Christine A. Shoemaker, Juliane Müller, C. Shoemaker, 2014, J. Glob. Optim..

SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems

Christine A. Shoemaker, Robert Piché, Juliane Müller, 2013, Comput. Oper. Res..

Adaptive Gaussian process surrogates for Bayesian inference pdf

Juliane Müller, Timur Takhtaganov, Juliane Müller, 2018, ArXiv.

Calibration of GARCH models using concurrent accelerated random search

Robert Piché, Juho Kanniainen, Juliane Müller, 2013, Appl. Math. Comput..

Programmable In Situ System for Iterative Workflows

Dmitriy Morozov, Juliane Müller, Zarija Lukic, 2017, JSSPP.

Surrogate Model Algorithms for Computationally Expensive Black-Box Global Optimization Problems

Juliane Müller, Juliane Müller, 2012 .

Evaluation of the infill algorithm for trajectory planning of pointed ends for droplet-generating 3D printers

Tim Lüth, Jelena Prsa, Franz Irlinger, 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

Surrogate Model Optimization Toolbox

Juliane Müller, Juliane Müller, 2012 .

SOCEMO: Surrogate Optimization of Computationally Expensive Multiobjective Problems

Juliane Müller, Juliane Müller, 2017, INFORMS J. Comput..

SO-I: a surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications

Christine A. Shoemaker, Robert Piché, Juliane Müller, 2014, J. Glob. Optim..

Entwicklung des Bewässerungsbedarfs von 1990 bis 2055 am Beispiel der Kartoffel, berechnet aufgrund gemessener und prognostischer Wetterdaten

Konrad Miegel, Juliane Müller, Rickmann Michel, 2009, GIL Jahrestagung.

SO-MODS: Optimization for high dimensional computationally expensive multi-modal functions with surrogate search

Christine A. Shoemaker, Tipaluck Krityakierne, Juliane Müller, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Mixture surrogate models based on Dempster-Shafer theory for global optimization problems

Robert Piché, Juliane Müller, R. Piché, 2011, J. Glob. Optim..