Design and Optimization under Uncertainties : A Simulation and Surrogate Model Based Approach

This thesis deals with development of complex products via modeling and simulation, and especially the use of surrogate models to decrease the computational efforts when probabilistic optimizations ...

[1]  Agus Sudjianto,et al.  Blind Kriging: A New Method for Developing Metamodels , 2008 .

[2]  T. Simpson,et al.  A Monte Carlo Simulation of the Kriging Model , 2004 .

[3]  Raphael T. Haftka,et al.  Improved Global Convergence Probability Using Independent Swarms , 2005 .

[4]  Timothy W. Simpson,et al.  Metamodels for Computer-based Engineering Design: Survey and recommendations , 2001, Engineering with Computers.

[5]  Bernhard Sendhoff,et al.  Robust Optimization - A Comprehensive Survey , 2007 .

[6]  Johan Ölvander,et al.  A Modified Complex Algorithm Applied to Robust Design Optimization , 2011 .

[7]  Dimitri N. Mavris,et al.  A Stochastic Approach to Multi-disciplinary Aircraft Analysis and Design , 1998 .

[8]  Petter Krus,et al.  Balancing Uncertainties in Aircraft System Simulation Models , 2009 .

[9]  Liselott Ericson,et al.  On Fluid Power Pump and Motor Design : Tools for Noise Reduction , 2012 .

[10]  Douglas C. Montgomery,et al.  Comparing designs for computer simulation experiments , 2008, 2008 Winter Simulation Conference.

[11]  K. Gupta,et al.  Metamodel-Based Optimization for Problems With Expensive Objective and Constraint Functions , 2011 .

[12]  Xiaolong Feng,et al.  Multidisciplinary Design Optimization of Modular Industrial Robots , 2011, DAC 2011.

[13]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[14]  Petter Krus,et al.  Optimizing the Optimization - A Method for Comparison of Optimization Algorithms , 2006 .

[15]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[16]  Johan Andersson,et al.  Multiobjective optimization in engineering design : applications to fluid power systems , 2001 .

[17]  T. Simpson,et al.  Comparative studies of metamodeling techniques under multiple modeling criteria , 2000 .

[18]  David Aspenberg,et al.  Robust optimisation of structures : Evaluation and incorporation of variations in simulation based design , 2011 .

[19]  Hong-Seok Park,et al.  Structural optimization based on CAD-CAE integration and metamodeling techniques , 2010, Comput. Aided Des..

[20]  Johan Ölvander,et al.  Comparison of Different Uses of Metamodels for Robust Design Optimization , 2013 .

[21]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[22]  R. Duvigneau,et al.  META-MODELING FOR ROBUST DESIGN AND MULTI-LEVEL OPTIMIZATION , 2022 .

[23]  Hirotaka Nakayama,et al.  A Computational Intelligence Approach to Optimization with Unknown Objective Functions , 2001, ICANN.

[24]  Patrick J. Roache,et al.  Verification and Validation in Computational Science and Engineering , 1998 .

[25]  G. G. Wang,et al.  Metamodeling for High Dimensional Simulation-Based Design Problems , 2010 .

[26]  Richard J. Beckman,et al.  A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.

[27]  Mattia Padulo,et al.  Computational engineering design under uncertainty : an aircraft conceptual design perspective , 2009 .

[28]  Johan Andersson,et al.  Optimal design of the cross-angle for pulsation reduction in variable displacement pumps , 2002 .

[29]  Jay D. Martin,et al.  A Methodology to Manage Uncertainty During System-Level Conceptual Design , 2005, DAC 2005.

[30]  G. Gary Wang,et al.  Review of Metamodeling Techniques in Support of Engineering Design Optimization , 2007, DAC 2006.

[31]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[32]  Douglas C. Montgomery,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[33]  Michael Edward Hohn,et al.  An Introduction to Applied Geostatistics: by Edward H. Isaaks and R. Mohan Srivastava, 1989, Oxford University Press, New York, 561 p., ISBN 0-19-505012-6, ISBN 0-19-505013-4 (paperback), $55.00 cloth, $35.00 paper (US) , 1991 .

[34]  Xiaoping Du,et al.  The use of metamodeling techniques for optimization under uncertainty , 2001 .

[35]  Tomas Jansson,et al.  Using the response surface methodology and the D-optimality criterion in crashworthiness related problems , 2002 .

[36]  Peter A. Fritzson,et al.  Principles of object-oriented modeling and simulation with Modelica 2.1 , 2004 .

[37]  M. D. McKay,et al.  A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .

[38]  Liang Gao,et al.  A Novel Methodology to Manage Uncertainty for Multidisciplinary Design and Optimization in Conceptual Design , 2008 .

[39]  Andy J. Keane,et al.  Engineering Design via Surrogate Modelling - A Practical Guide , 2008 .

[40]  Xiaolong Feng,et al.  Multidisciplinary Design Optimization of Modular Industrial Robots by Utilizing High Level CAD Templates , 2012 .

[41]  Petter Krus,et al.  Optimizing Optimization for Design Optimization , 2003, DAC 2003.

[42]  Petter Krus,et al.  Performance index and meta-optimization of a direct search optimization method , 2013 .