Multi-Objective Reliability-Based Optimization with Stochastic Metamodels
暂无分享,去创建一个
[1] P G Georgopoulos,et al. Efficient Sensitivity/Uncertainty Analysis Using the Combined Stochastic Response Surface Method and Automated Differentiation: Application to Environmental and Biological Systems , 2000, Risk analysis : an official publication of the Society for Risk Analysis.
[2] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[3] Philipp Limbourg,et al. Multi-objective Optimization of Problems with Epistemic Uncertainty , 2005, EMO.
[4] R. Haftka,et al. Elements of Structural Optimization , 1984 .
[5] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[6] Kalyanmoy Deb,et al. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.
[7] Carlos M. Fonseca,et al. Evolutionary Multi-Objective Robust Optimization , 2008 .
[8] Andy J. Keane,et al. Recent advances in surrogate-based optimization , 2009 .
[9] Olivier P. Le Maître,et al. Polynomial chaos expansion for sensitivity analysis , 2009, Reliab. Eng. Syst. Saf..
[10] Jürgen Branke,et al. Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation , 2006, IEEE Transactions on Evolutionary Computation.
[11] Bruno Sudret,et al. Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach , 2008 .
[12] Bernhard Sendhoff,et al. Robust Optimization - A Comprehensive Survey , 2007 .
[13] Paul Malliavin,et al. Stochastic Analysis , 1997, Nature.
[14] Luke E. K. Achenie,et al. Multicriteria Optimization Under Parametric Uncertainty , 2005 .
[15] Gilles Pujol,et al. L'incertitude en conception : formalisation, estimation , 2009 .
[16] Nicholas Zabaras,et al. A non-intrusive stochastic Galerkin approach for modeling uncertainty propagation in deformation processes , 2007 .
[17] S. Azarm,et al. Improving multi-objective genetic algorithms with adaptive design of experiments and online metamodeling , 2009 .
[18] Mario Köppen,et al. Fuzzy-Pareto-Dominance and its Application in Evolutionary Multi-objective Optimization , 2005, EMO.
[19] Jürgen Teich,et al. Pareto-Front Exploration with Uncertain Objectives , 2001, EMO.
[20] Hugues Bersini,et al. Parametrical mechanical design with constraints and preferences: application to a purge valve , 2003 .
[21] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[22] G. Stefanou. The stochastic finite element method: Past, present and future , 2009 .
[23] Samer Barakat,et al. Multi-objective reliability-based optimization of prestressed concrete beams , 2004 .
[24] Roger Ghanem,et al. Numerical solution of spectral stochastic finite element systems , 1996 .
[25] Bernhard Sendhoff,et al. Structure optimization of neural networks for evolutionary design optimization , 2005, Soft Comput..
[26] Ph. Bouillard,et al. A multicriteria evolutionary algorithm for mechanical design optimization with expert rules , 2005 .
[27] Donald R. Jones,et al. A Taxonomy of Global Optimization Methods Based on Response Surfaces , 2001, J. Glob. Optim..
[28] Ramana V. Grandhi,et al. Reliability-based Structural Design , 2006 .
[29] Achintya Haldar,et al. Reliability Assessment Using Stochastic Finite Element Analysis , 2000 .
[30] Eckart Zitzler,et al. A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization , 2006, EvoWorkshops.
[31] Bu-Sung Lee,et al. Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty , 2005, GECCO '05.
[32] Stephen J. Wright,et al. Numerical Optimization (Springer Series in Operations Research and Financial Engineering) , 2000 .
[33] Kalyanmoy Deb,et al. Introducing Robustness in Multi-Objective Optimization , 2006, Evolutionary Computation.
[34] M. Berveiller,et al. Eléments finis stochastiques : approches intrusive et non intrusive pour des analyses de fiabilité , 2005 .
[35] Bu-Sung Lee,et al. Inverse multi-objective robust evolutionary design , 2006, Genetic Programming and Evolvable Machines.
[36] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[37] Evan J. Hughes,et al. Evolutionary Multi-objective Ranking with Uncertainty and Noise , 2001, EMO.
[38] Jürgen Branke,et al. Evolutionary optimization in uncertain environments-a survey , 2005, IEEE Transactions on Evolutionary Computation.
[39] Kalyanmoy Deb,et al. Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization , 2005, EMO.
[40] M. Eldred,et al. Evaluation of Non-Intrusive Approaches for Wiener-Askey Generalized Polynomial Chaos. , 2008 .
[41] Søren Nymand Lophaven,et al. DACE - A Matlab Kriging Toolbox, Version 2.0 , 2002 .
[42] Kalyanmoy Deb,et al. Reliability-Based Optimization Using Evolutionary Algorithms , 2009, IEEE Transactions on Evolutionary Computation.
[43] Kaushik Sinha,et al. Reliability-based multiobjective optimization for automotive crashworthiness and occupant safety , 2007 .
[44] Efstratios Nikolaidis,et al. Engineering Design Reliability Handbook , 2004 .
[45] Bernhard Sendhoff,et al. Generalizing Surrogate-Assisted Evolutionary Computation , 2010, IEEE Transactions on Evolutionary Computation.
[46] Bernhard Sendhoff,et al. A framework for evolutionary optimization with approximate fitness functions , 2002, IEEE Trans. Evol. Comput..
[47] Kalyanmoy Deb,et al. Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms , 2007, EMO.
[48] Piotr Breitkopf,et al. Model reduction for multidisciplinary optimization - application to a 2D wing , 2008 .
[49] Laura Painton Swiler,et al. A user's guide to Sandia's latin hypercube sampling software : LHS UNIX library/standalone version. , 2004 .
[50] Christina Bloebaum,et al. Robust Multi-Objective Genetic Algorithm Concurrent Subspace Optimization (R-MOGACSSO) for Multidisciplinary Design , 2006 .
[51] Alberto Lovison,et al. A Polynomial Chaos Approach to Robust Multiobjective Optimization , 2009, Hybrid and Robust Approaches to Multiobjective Optimization.
[52] S. Azarm,et al. Multi-objective robust optimization using a sensitivity region concept , 2005 .