An Improved Kriging-Assisted Multi-Objective Genetic Algorithm
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[1] Shapour Azarm,et al. A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization , 2008 .
[2] Andy J. Keane,et al. Combining approximation concepts with genetic algorithm-based structural optimization procedures , 1998 .
[3] S. Azarm,et al. On improving multiobjective genetic algorithms for design optimization , 1999 .
[4] Juan J. Alonso,et al. Mutiobjective Optimization Using Approximation Model-Based Genetic Algorithms , 2004 .
[5] G. Gary Wang,et al. An Efficient Pareto Set Identification Approach for Multiobjective Optimization on Black-Box Functions , 2005 .
[6] G. Gary Wang,et al. Review of Metamodeling Techniques in Support of Engineering Design Optimization , 2007 .
[7] T. Simpson,et al. Efficient Pareto Frontier Exploration using Surrogate Approximations , 2000 .
[8] S. Azarm,et al. Improving multi-objective genetic algorithms with adaptive design of experiments and online metamodeling , 2009 .
[9] Shapour Azarm,et al. Constraint handling improvements for multiobjective genetic algorithms , 2002 .
[10] Jack P. C. Kleijnen,et al. Kriging Metamodeling in Simulation: A Review , 2007, Eur. J. Oper. Res..
[11] Ren-Jye Yang,et al. Approximation methods in multidisciplinary analysis and optimization: a panel discussion , 2004 .
[12] Shapour Azarm,et al. Optimizing thermal design of data center cabinets with a new multi-objective genetic algorithm , 2007, Distributed and Parallel Databases.
[13] Manolis Papadrakakis,et al. Optimization of Large-Scale 3-D Trusses Using Evolution Strategies and Neural Networks , 1999 .
[14] Robert E. Smith,et al. Fitness inheritance in genetic algorithms , 1995, SAC '95.
[15] Bernhard Sendhoff,et al. A framework for evolutionary optimization with approximate fitness functions , 2002, IEEE Trans. Evol. Comput..
[16] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[17] Henry P. Wynn,et al. Maximum entropy sampling , 1987 .
[18] Farrokh Mistree,et al. Kriging Models for Global Approximation in Simulation-Based Multidisciplinary Design Optimization , 2001 .
[19] Khaled Rasheed,et al. Comparison of methods for developing dynamic reduced models for design optimization , 2002, Soft Comput..
[20] Thomas J. Santner,et al. The Design and Analysis of Computer Experiments , 2003, Springer Series in Statistics.
[21] Meng-Sing Liou,et al. Multiobjective Optimization Using Coupled Response Surface Model and Evolutionary Algorithm. , 2005 .
[22] Masoud Rais-Rohani,et al. A comparative study of metamodeling methods for multiobjective crashworthiness optimization , 2005 .
[23] Yaochu Jin,et al. Managing approximate models in evolutionary aerodynamic design optimization , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[24] Shapour Azarm,et al. Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set , 2001 .
[25] Sacha Jennifer van Albada,et al. Transformation of arbitrary distributions to the normal distribution with application to EEG test–retest reliability , 2007, Journal of Neuroscience Methods.
[26] Kalyanmoy Deb,et al. Computationally effective search and optimization procedure using coarse to fine approximations , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[27] Timothy W. Simpson,et al. Metamodels for Computer-based Engineering Design: Survey and recommendations , 2001, Engineering with Computers.
[28] Ivo F. Sbalzariniy,et al. Multiobjective optimization using evolutionary algorithms , 2000 .
[29] David E. Goldberg,et al. Fitness Inheritance In Multi-objective Optimization , 2002, GECCO.
[30] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[31] M. Farina. A neural network based generalized response surface multiobjective evolutionary algorithm , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).