Updating Kriging Surrogate Models Based on the Hypervolume Indicator in Multi-Objective Optimization
暂无分享,去创建一个
Shigeru Obayashi | Koma Sato | Koji Shimoyama | Shinkyu Jeong | K. Shimoyama | S. Obayashi | S. Jeong | Koma Sato
[1] Lucas Bradstreet,et al. Applying the WFG algorithm to calculate incremental hypervolumes , 2012, 2012 IEEE Congress on Evolutionary Computation.
[2] Mian Li,et al. An Improved Kriging-Assisted Multi-Objective Genetic Algorithm , 2011 .
[3] Michael T. M. Emmerich,et al. Hypervolume-based expected improvement: Monotonicity properties and exact computation , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[4] Shigeru Obayashi,et al. Multi-Objective Design Optimization for a Steam Turbine Stator Blade Using LES and GA , 2011 .
[5] Shapour Azarm,et al. Reducible Uncertain Interval Design by Kriging Metamodel Assisted Multi-Objective Optimization , 2011 .
[6] Nicola Beume,et al. On the Complexity of Computing the Hypervolume Indicator , 2009, IEEE Transactions on Evolutionary Computation.
[7] Jay D. Martin,et al. Computational Improvements to Estimating Kriging Metamodel Parameters , 2009 .
[8] Shigeru Obayashi,et al. Practical Implementation of Robust Design Assisted by Response Surface Approximation and Visual Data-Mining , 2009 .
[9] Shigeru Obayashi,et al. Low-Boom and Low-Drag Optimization of the Twin Engine Version of Silent Supersonic Business Jet , 2008 .
[10] Shapour Azarm,et al. A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization , 2008, DAC 2006.
[11] G. Gary Wang,et al. Review of Metamodeling Techniques in Support of Engineering Design Optimization , 2007, DAC 2006.
[12] Shigeru Obayashi,et al. Optimization of Combustion Chamber for Diesel Engine Using Kriging Model , 2006 .
[13] Thomas J. Santner,et al. Design and analysis of computer experiments , 1998 .
[14] G. G. Wang,et al. Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points , 2003 .
[15] 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.
[16] Eckart Zitzler,et al. Evolutionary algorithms for multiobjective optimization: methods and applications , 1999 .
[17] Gary B. Lamont,et al. Multiobjective evolutionary algorithm test suites , 1999, SAC '99.
[18] Gary B. Lamont,et al. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations , 1999 .
[19] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[20] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[21] Douglas C. Montgomery,et al. Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .
[22] Jason R. Schott. Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization. , 1995 .
[23] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .