Space exploration and region elimination global optimization algorithms for multidisciplinary design optimization

[1]  John E. Renaud,et al.  Interactive Multiobjective Optimization Design Strategy for Decision Based Design , 2001 .

[2]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[3]  Zuhaimy Ismail,et al.  Traveling Salesman Approach for Solving Petrol Distribution Using Simulated Annealing , 2008 .

[4]  T. Simpson,et al.  Comparative studies of metamodeling techniques under multiple modeling criteria , 2000 .

[5]  G. Gary Wang,et al.  ADAPTIVE RESPONSE SURFACE METHOD - A GLOBAL OPTIMIZATION SCHEME FOR APPROXIMATION-BASED DESIGN PROBLEMS , 2001 .

[6]  Joshua D. Knowles,et al.  ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems , 2006, IEEE Transactions on Evolutionary Computation.

[7]  J. Carlson,et al.  Viscoelastic Properties of Magneto- and Electro-Rheological Fluids , 1994 .

[8]  W. Kordonsky,et al.  Elements and Devices Based on Magnetorheological Effect* , 1993 .

[9]  Xiaoping Du,et al.  The use of metamodeling techniques for optimization under uncertainty , 2001 .

[10]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[11]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[12]  C. T. Kelley,et al.  A Locally-Biased form of the DIRECT Algorithm , 2001, J. Glob. Optim..

[13]  Guillermo R. Bossio,et al.  Optimization of power management in an hybrid electric vehicle using dynamic programming , 2006, Math. Comput. Simul..

[14]  Weihua Li,et al.  Development of an MR-brake-based haptic device , 2006 .

[15]  G. G. Wang,et al.  Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points , 2003 .

[16]  Jack P. C. Kleijnen,et al.  A methodology for fitting and validating metamodels in simulation , 2000, Eur. J. Oper. Res..

[17]  Mattias Björkman,et al.  Global Optimization of Costly Nonconvex Functions Using Radial Basis Functions , 2000 .

[18]  J. Parry,et al.  Simulation-based design optimization methodologies applied to CFD , 2004, IEEE Transactions on Components and Packaging Technologies.

[19]  Farrokh Mistree,et al.  Kriging Models for Global Approximation in Simulation-Based Multidisciplinary Design Optimization , 2001 .

[20]  G. P. Liu,et al.  A novel multi-objective optimization method based on an approximation model management technique , 2008 .

[21]  Brendan M. Conlon,et al.  Comparative Analysis of Single and Combined Hybrid Electrically Variable Transmission Operating Modes , 2005 .

[22]  Morteza Montazeri-Gh,et al.  Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles , 2006, J. Frankl. Inst..

[23]  Donald R. Jones,et al.  Direct Global Optimization Algorithm , 2009, Encyclopedia of Optimization.

[24]  G. Gary Wang,et al.  Review of Metamodeling Techniques in Support of Engineering Design Optimization , 2007 .

[25]  T. Simpson,et al.  Use of Kriging Models to Approximate Deterministic Computer Models , 2005 .

[26]  Aleksandrs Korjakins,et al.  Surrogate Models for Optimum Design of Stiffened Composite Shells , 2004 .

[27]  Cristina H. Amon,et al.  An engineering design methodology with multistage Bayesian surrogates and optimal sampling , 1996 .

[28]  M. J. D. Powell,et al.  Radial basis functions for multivariable interpolation: a review , 1987 .

[29]  T. Simpson,et al.  Efficient Pareto Frontier Exploration using Surrogate Approximations , 2000 .

[30]  R. H. Myers,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[31]  Jeffrey Gonder,et al.  Route-Based Control of Hybrid Electric Vehicles , 2008 .

[32]  R. Haftka,et al.  Multiple surrogates: how cross-validation errors can help us to obtain the best predictor , 2009 .

[33]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[34]  Chenghui Zhang,et al.  PSO algorithm-based parameter optimization for HEV powertrain and its control strategy , 2008 .

[35]  Zuomin Dong,et al.  Trends, features, and tests of common and recently introduced global optimization methods , 2010 .

[36]  M. J. D. Powell,et al.  UOBYQA: unconstrained optimization by quadratic approximation , 2002, Math. Program..

[37]  T. Simpson,et al.  Analysis of support vector regression for approximation of complex engineering analyses , 2005, DAC 2003.

[38]  S. Rippa,et al.  Numerical Procedures for Surface Fitting of Scattered Data by Radial Functions , 1986 .

[39]  N. Cressie Spatial prediction and ordinary kriging , 1988 .

[40]  Zhengli Zhu,et al.  Optimization approach for hybrid electric vehicle powertrain design , 2005 .

[41]  Eligius M. T. Hendrix,et al.  Global optimization at work , 1998 .

[42]  Hamid A. Toliyat,et al.  Propulsion system design of electric and hybrid vehicles , 1997, IEEE Trans. Ind. Electron..

[43]  Ali Emadi,et al.  Modern electric, hybrid electric, and fuel cell vehicles : fundamentals, theory, and design , 2009 .

[44]  Beom-Seon Jang,et al.  Adaptive approximation in multi-objective optimization for full stochastic fatigue design problem , 2009 .

[45]  Robert L. Smith,et al.  Pure adaptive search in global optimization , 1992, Math. Program..

[46]  Hyoung-Seog Chung,et al.  Multiobjective Optimization Using Adjoint Gradient Enhanced Approximation Models for Genetic Algorithms , 2006, ICCSA.

[47]  R. Haftka,et al.  Ensemble of surrogates , 2007 .

[48]  Alfredo Vaccaro,et al.  A genetic-based methodology for hybrid electric vehicles sizing , 2001, Soft Comput..

[49]  C. D. Perttunen,et al.  Lipschitzian optimization without the Lipschitz constant , 1993 .

[50]  Jon C. Helton,et al.  Sampling-based methods for uncertainty and sensitivity analysis. , 2000 .

[51]  Zuomin Dong,et al.  Approximated unimodal region elimination-based global optimisation method for engineering design , 2009 .

[52]  R. L. Hardy Multiquadric equations of topography and other irregular surfaces , 1971 .

[53]  Manuel Laguna,et al.  Tabu Search , 1997 .

[54]  M. T. Hillery,et al.  Modelling of extrusion force using the surface response method , 2005 .

[55]  Alan G. Holmes,et al.  Defining the General Motors 2-Mode Hybrid Transmission , 2007 .

[56]  Huei Peng,et al.  A stochastic control strategy for hybrid electric vehicles , 2004, Proceedings of the 2004 American Control Conference.

[57]  Liqun Wang,et al.  A Random-Discretization Based Monte Carlo Sampling Method and its Applications , 2002 .

[58]  J. Dennis,et al.  Direct Search Methods on Parallel Machines , 1991 .

[59]  J. Dennis,et al.  MANAGING APPROXIMATION MODELS IN OPTIMIZATION , 2007 .

[60]  J. S. Ivey,et al.  Nelder-Mead simplex modifications for simulation optimization , 1996 .

[61]  G. G. Wang,et al.  Space exploration and global optimization for computationally intensive design problems: a rough set based approach , 2004 .

[62]  Thomas W. Lucas,et al.  Efficient Nearly Orthogonal and Space-Filling Latin Hypercubes , 2007, Technometrics.

[63]  Urmila M. Diwekar,et al.  An efficient sampling technique for off-line quality control , 1997 .

[64]  F. T. S. Marı́n,et al.  Global optimization in path synthesis based on design space reduction , 2003 .

[65]  M. Duran Toksari,et al.  Ant colony optimization for finding the global minimum , 2006, Appl. Math. Comput..

[66]  Liping Wang,et al.  Gaussian Process Meta-Models for Efficient Probabilistic Design in Complex Engineering Design Spaces , 2005, DAC 2005.

[67]  Afzal Suleman,et al.  A performance evaluation of an automotive magnetorheological brake design with a sliding mode controller , 2006 .

[68]  Antanas Žilinskas Algorithm. 44. MIMUN. Optimization of one-dimensional multimodal functions in the presence of noise , 1980 .

[69]  Beom-Seon Jang,et al.  Managing approximation models in multiobjective optimization , 2003 .

[70]  R. Balling,et al.  GENETIC ALGORITHMS WITH MULTIPLE OBJECTIVES , 1998 .

[71]  R Fisher,et al.  Design of Experiments , 1936 .

[72]  Raphael T. Haftka,et al.  Surrogate-based Analysis and Optimization , 2005 .

[73]  Eligius M. T. Hendrix,et al.  On the Investigation of Stochastic Global Optimization Algorithms , 2005, J. Glob. Optim..

[74]  Boxin Tang Orthogonal Array-Based Latin Hypercubes , 1993 .

[75]  Ignace Lemahieu,et al.  PET image reconstruction using simulated annealing , 1995, Medical Imaging.

[76]  Donald R. Jones,et al.  Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..

[77]  Dong-Soo Kwon,et al.  Modeling of a Magnetorheological Actuator Including Magnetic Hysteresis , 2003 .

[78]  G. Box,et al.  On the Experimental Attainment of Optimum Conditions , 1951 .

[79]  G. Gary Wang,et al.  An Efficient Pareto Set Identification Approach for Multiobjective Optimization on Black-Box Functions , 2005 .

[80]  Thomas J. Santner,et al.  The Design and Analysis of Computer Experiments , 2003, Springer Series in Statistics.

[81]  J. -F. M. Barthelemy,et al.  Approximation concepts for optimum structural design — a review , 1993 .

[82]  Rob A. Rutenbar,et al.  Simulated annealing algorithms: an overview , 1989, IEEE Circuits and Devices Magazine.

[83]  K. B. Wipke,et al.  ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approach , 1999 .

[84]  T Haftka Raphael,et al.  Multidisciplinary aerospace design optimization: survey of recent developments , 1996 .

[85]  Jerome Sacks,et al.  Designs for Computer Experiments , 1989 .

[86]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[87]  Toby J. Mitchell,et al.  An algorithm for the construction of “ D -optimal” experimental designs , 2000 .

[88]  Timothy M. Mauery,et al.  COMPARISON OF RESPONSE SURFACE AND KRIGING MODELS FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION , 1998 .

[89]  M. Matsunami,et al.  A combined method for the global optimization using radial basis function and deterministic approach , 1999 .

[90]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.