A Constraint Satisfaction Algorithm for the Generalized Inverse Phase Stability Problem
暂无分享,去创建一个
Richard J. Malak | Edgar Galvan | S. L. Gibbons | Raymundo Arroyave | R. Malak | E. Galván | R. Arróyave | S. Gibbons
[1] Farrokh Mistree,et al. An inductive design exploration method for hierarchical systems design under uncertainty , 2008 .
[2] Alexander J. Smola,et al. Learning with kernels , 1998 .
[3] Pascal Van Hentenryck,et al. Numerica: A Modeling Language for Global Optimization , 1997, IJCAI.
[4] Charles Audet,et al. Mesh Adaptive Direct Search Algorithms for Constrained Optimization , 2006, SIAM J. Optim..
[5] Pedro Barahona,et al. Constraint reasoning in deep biomedical models , 2005, Artif. Intell. Medicine.
[6] P. Wolfe. A duality theorem for non-linear programming , 1961 .
[7] Trung Le,et al. A unified model for support vector machine and support vector data description , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).
[8] Liqun Wang,et al. Reliability Assessment Using Discriminative Sampling and Metamodeling , 2005 .
[9] M. Eldred,et al. Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions , 2008 .
[10] A. Basudhar,et al. An improved adaptive sampling scheme for the construction of explicit boundaries , 2010 .
[11] Gunnar Eriksson,et al. FactSage thermochemical software and databases , 2002 .
[12] Wei Gong,et al. An evaluation of adaptive surrogate modeling based optimization with two benchmark problems , 2014, Environ. Model. Softw..
[13] Edward P. K. Tsang,et al. Foundations of constraint satisfaction , 1993, Computation in cognitive science.
[14] R. A. Miller,et al. Sequential kriging optimization using multiple-fidelity evaluations , 2006 .
[15] Robert P. W. Duin,et al. Support vector domain description , 1999, Pattern Recognit. Lett..
[16] Robert P. W. Duin,et al. Support Vector Data Description , 2004, Machine Learning.
[17] H. Maier,et al. Multi-phase microstructure design of a low-alloy TRIP-assisted steel through a combined computational and experimental methodology , 2012 .
[18] R. B. Kearfott,et al. Abstract generalized bisection and a cost bound , 1987 .
[19] Durward K. Sobek,et al. The Second Toyota Paradox: How Delaying Decisions Can Make Better Cars Faster , 1995 .
[20] A. Basudhar,et al. Adaptive explicit decision functions for probabilistic design and optimization using support vector machines , 2008 .
[21] Allen Corlies Ward,et al. A theory of quantitative inference for artifact sets, applied to a mechanical design compiler , 1988 .
[22] Anirban Basudhar,et al. Computational Optimal Design and Uncertainty Quantification of Complex Systems Using Explicit Decision Boundaries , 2011 .
[23] Farrokh Mistree,et al. An Inductive Design Exploration Method for Robust Multiscale Materials Design , 2008 .
[24] Boi Faltings,et al. Consistency techniques for continuous constraints , 1996, Constraints.
[25] Charles Audet,et al. Calculating Optimal Conditions for Alloy and Process Design Using Thermodynamic and Properties Databases, the FactSage Software and the Mesh Adaptive Direct Search (MADS) Algorithm , 2010 .
[26] A. Neumaier. Complete search in continuous global optimization and constraint satisfaction , 2004, Acta Numerica.
[27] Solomon W. Golomb,et al. Backtrack Programming , 1965, JACM.
[28] K. Ramani,et al. Creating Polytope Representations of Design Spaces for Visual Exploration Using Consistency Techniques , 2010 .
[29] H. Ye,et al. Sigma phase formation and its effect on mechanical properties in the corrosion-resistant superalloy K44 , 2006 .
[30] William J. Welch,et al. Computer experiments and global optimization , 1997 .
[31] William W. Finch,et al. A SET-BASED SYSTEM FOR ELIMINATING INFEASIBLE DESIGNS IN ENGINEERING PROBLEMS DOMINATED BY UNCERTAINTY , 1997 .
[32] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[33] J. Beck,et al. A new adaptive importance sampling scheme for reliability calculations , 1999 .
[34] Matthew L. Ginsberg,et al. Iterative Broadening , 1990, Artif. Intell..
[35] Gert Cauwenberghs,et al. Incremental and Decremental Support Vector Machine Learning , 2000, NIPS.
[36] Sébastien Le Digabel,et al. Calculating all local minima on liquidus surfaces using the FactSage software and databases and the Mesh Adaptive Direct Search algorithm , 2011 .
[37] Christiaan J. J. Paredis,et al. Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems , 2010 .
[38] Carolyn Conner Seepersad,et al. Bayesian Network Classifiers for Set-Based Collaborative Design , 2012 .
[39] N. Saunders,et al. CALPHAD : calculation of phase diagrams : a comprehensive guide , 1998 .
[40] Matthew L. Ginsberg,et al. Limited Discrepancy Search , 1995, IJCAI.
[41] David W. Rosen. A Set-Based Design Method for Material-Geometry Structures by Design Space Mapping , 2015, DAC 2015.
[42] Yan Wang,et al. Sensitivity Analysis in Quantified Interval Constraint Satisfaction Problems , 2013, DAC 2013.
[43] Yan Wang,et al. Searching Feasible Design Space by Solving Quantified Constraint Satisfaction Problems , 2014 .
[44] Carolyn Conner Seepersad,et al. Hierarchical Design of Negative Stiffness Metamaterials Using a Bayesian Network Classifier , 2016 .
[45] T. Gómez-Acebo,et al. Systematic search of low melting point alloys in the Fe-Cr-Mn-Mo-C system ? , 2003 .
[46] R. Arróyave,et al. Thermodynamic analysis of two-stage heat treatment in TRIP steels , 2012 .
[47] Jorge Cruz,et al. Constraint Reasoning for Differential Models , 2005, Frontiers in Artificial Intelligence and Applications.
[48] Bernhard Schölkopf,et al. Support Vector Method for Novelty Detection , 1999, NIPS.
[49] Margaret J. Robertson,et al. Design and Analysis of Experiments , 2006, Handbook of statistics.
[50] Michael James Sasena,et al. Flexibility and efficiency enhancements for constrained global design optimization with kriging approximations. , 2002 .
[51] J. Morral,et al. Prediction of the lowest melting point eutectic in the FeCrMoVC system , 1997 .
[52] Allen C. Ward,et al. A Theory of Quantitative Inference, Applied to a Mechanical Design Compiler , 1989 .
[53] S. Sinha. A Duality Theorem for Nonlinear Programming , 1966 .
[54] Pedro Barahona,et al. Constraint Satisfaction Differential Problems , 2003, CP.