Improving multi-objective genetic algorithms with adaptive design of experiments and online metamodeling
暂无分享,去创建一个
S. Azarm | G. Li | M. Li | S. Al Hashimi | T. Al Ameri | N. Al Qasas | S. Azarm | M. Li | S. Al Hashimi | N. Al Qasas | T. A. Al Ameri | G. Li
[1] Rajkumar Roy,et al. Multi-objective Optimisation Of Rolling Rod Product Design Using Meta-modelling Approach , 2002, GECCO.
[2] Kisuk Cheung. Engineering and Design. Practical Aspects of Applying Geostatistics at Hazardous, Toxic, and Radioactive Waste Sites , 1997 .
[3] T. Simpson,et al. Efficient Pareto Frontier Exploration using Surrogate Approximations , 2000 .
[4] Søren Nymand Lophaven,et al. DACE - A Matlab Kriging Toolbox , 2002 .
[5] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[6] Raphael T. Haftka,et al. Design of stiffened composite panels by genetic algorithm and response surface approximations , 1995 .
[7] James M. Douglas,et al. Conceptual Design of Chemical Processes , 1988 .
[8] K. S. Anderson,et al. Genetic crossover strategy using an approximation concept , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[9] Søren Nymand Lophaven,et al. DACE - A Matlab Kriging Toolbox, Version 2.0 , 2002 .
[10] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[11] Mian Li,et al. Robust Optimization and Sensitivity Analysis with Multi-Objective Genetic Algorithms: Single- and Multi-Disciplinary Applications , 2007 .
[12] Khaled Rasheed,et al. Comparison of methods for developing dynamic reduced models for design optimization , 2002, Soft Comput..
[13] Juan J. Alonso,et al. Mutiobjective Optimization Using Approximation Model-Based Genetic Algorithms , 2004 .
[14] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[15] Thomas J. Santner,et al. The Design and Analysis of Computer Experiments , 2003, Springer Series in Statistics.
[16] J. -F. M. Barthelemy,et al. Approximation concepts for optimum structural design — a review , 1993 .
[17] Marc Schoenauer,et al. Surrogate Deterministic Mutation: Preliminary Results , 2001, Artificial Evolution.
[18] Ernest J. Henley,et al. Separation Process Principles , 1998 .
[19] Shapour Azarm,et al. Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set , 2001 .
[20] T. J. Mitchell,et al. Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer Experiments , 1991 .
[21] G. Gary Wang,et al. An Efficient Pareto Set Identification Approach for Multiobjective Optimization on Black-Box Functions , 2005 .
[22] R. Haftka,et al. Response surface approximations for structural optimization , 1996 .
[23] S. Ruzika,et al. Approximation Methods in Multiobjective Programming , 2005 .
[24] C. Currin,et al. A Bayesian Approach to the Design and Analysis of Computer Experiments , 1988 .
[25] S. Azarm,et al. Approximation of multiresponse deterministic engineering simulations: a dependent metamodeling approach , 2006 .
[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] Ivo F. Sbalzariniy,et al. Multiobjective optimization using evolutionary algorithms , 2000 .
[28] D. Lindley. On a Measure of the Information Provided by an Experiment , 1956 .
[29] Shapour Azarm,et al. Optimizing thermal design of data center cabinets with a new multi-objective genetic algorithm , 2007, Distributed and Parallel Databases.
[30] Jack P. C. Kleijnen,et al. The correct Kriging variance estimated by bootstrapping , 2006, J. Oper. Res. Soc..
[31] Margaret M. Wiecek,et al. A Survey of Approximation Methods in Multiobjective Programming , 2003 .
[32] Shapour Azarm,et al. A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization , 2008 .
[33] Donald R. Jones,et al. A Taxonomy of Global Optimization Methods Based on Response Surfaces , 2001, J. Glob. Optim..
[34] C. Geankoplis. Transport processes and unit operations , 1978 .
[35] Shapour Azarm,et al. Constraint handling improvements for multiobjective genetic algorithms , 2002 .
[36] Ren-Jye Yang,et al. Approximation methods in multidisciplinary analysis and optimization: a panel discussion , 2004 .
[37] Haym Hirsh,et al. Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models , 2000, GECCO.
[38] Henry P. Wynn,et al. Maximum entropy sampling , 1987 .