Performance assessment of a multi-objective parametric optimization algorithm with application to a multi-physical engineering system
暂无分享,去创建一个
Darren J. Hartl | Edgar Galvan | Richard J. Malak | Jeffrey W. Baur | R. Malak | E. Galván | D. Hartl | J. Baur
[1] Deepak Kumar,et al. Target Exploration for Disconnected Feasible Regions in Enterprise-Driven Multilevel Product Design , 2006 .
[2] Tao Jiang,et al. Target Cascading in Optimal System Design , 2003, DAC 2000.
[3] Qingfu Zhang,et al. Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II , 2009, IEEE Transactions on Evolutionary Computation.
[4] Paul R. Milgrom,et al. Envelope Theorems for Arbitrary Choice Sets , 2002 .
[5] Ross Wilcoxon,et al. A compliant thermal spreader with internal liquid metal cooling channels , 2010, 2010 26th Annual IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM).
[6] John E. Dennis,et al. Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems , 1998, SIAM J. Optim..
[7] C. Pozrikidis,et al. Fluid Dynamics: Theory, Computation, and Numerical Simulation , 2001 .
[8] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[9] Kalyanmoy Deb,et al. Dynamic multiobjective optimization problems: test cases, approximations, and applications , 2004, IEEE Transactions on Evolutionary Computation.
[10] Edgar Galvan. Parametric Optimization: Applications in Systems Design , 2016 .
[11] Richard J. Malak,et al. P3GA: An Algorithm for Technology Characterization , 2015 .
[12] Kalyanmoy Deb,et al. Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.
[13] Darren J. Hartl,et al. Embedded magnetohydrodynamic liquid metal thermal transport: validated analysis and design optimization , 2017 .
[14] Efstratios N. Pistikopoulos,et al. Multi-Parametric Model-Based Control: Volume 2: Theory and Applications , 2007 .
[15] John E. Dennis,et al. Problem Formulation for Multidisciplinary Optimization , 1994, SIAM J. Optim..
[16] Paul R. Milgrom,et al. Monotone Comparative Statics , 1994 .
[17] C. Carlsson,et al. A parametric approach to fuzzy linear programming , 1986 .
[18] Lothar Thiele,et al. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers , 2006 .
[19] Carlos A. Coello Coello,et al. Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization , 2012, IEEE Transactions on Evolutionary Computation.
[20] Vadim Shapiro,et al. Shape optimization with topological changes and parametric control , 2007 .
[21] Gary B. Lamont,et al. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations , 1999 .
[22] J. Samareh. Survey of Shape Parameterization Techniques for High-Fidelity Multidisciplinary Shape Optimization , 2001 .
[23] H. Zimmermann. Fuzzy programming and linear programming with several objective functions , 1978 .
[24] Touradj Ebrahimi,et al. MESH: measuring errors between surfaces using the Hausdorff distance , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.
[25] Francesco Masulli,et al. A survey of kernel and spectral methods for clustering , 2008, Pattern Recognit..
[26] Xiaoyu Gu,et al. Decision-Based Collaborative Optimization , 2002 .
[27] Jeremy S. Agte,et al. Bi-Level Integrated System Synthesis , 1998 .
[28] Shankar Chakraborty,et al. Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm , 2011, Eng. Appl. Artif. Intell..
[29] Jasbir S. Arora,et al. Survey of multi-objective optimization methods for engineering , 2004 .
[30] Panos Y. Papalambros,et al. Convergence properties of analytical target cascading , 2002 .
[31] Gary B. Lamont,et al. Multiobjective evolutionary algorithm test suites , 1999, SAC '99.
[32] Richard J. Malak,et al. Using parameterized efficient sets to model alternatives for systems design decisions , 2008 .
[33] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[34] Haim H. Bau,et al. When MHD-based microfluidics is equivalent to pressure-driven flow , 2011 .
[35] T Haftka Raphael,et al. Multidisciplinary aerospace design optimization: survey of recent developments , 1996 .
[36] Hisao Ishibuchi,et al. Evolutionary many-objective optimization: A short review , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[37] Panos Y. Papalambros,et al. Principles of Optimal Design: Modeling and Computation , 1988 .
[38] Marco Laumanns,et al. Running time analysis of a multi-objective evolutionary algorithm on a simple discrete optimization problem , 2002 .
[39] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[40] Panos Y. Papalambros,et al. Selection Families of Optimal Engine Designs Using Nonlinear Programming and Parametric Sensitivity Analysis , 1997 .
[41] Efstratios N. Pistikopoulos,et al. Multi-parametric model-based control : theory and applications , 2007 .
[42] L. Lasdon,et al. On a bicriterion formation of the problems of integrated system identification and system optimization , 1971 .
[43] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[44] Kalyanmoy Deb,et al. Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems , 1999, Evolutionary Computation.
[45] Paolo Cignoni,et al. Metro: Measuring Error on Simplified Surfaces , 1998, Comput. Graph. Forum.
[46] Pradeep Kumar,et al. PARAMETRIC OPTIMIZATION OF POWDER MIXED ELECTRICAL DISCHARGE MACHINING BY RESPONSE SURFACE METHODOLOGY , 2005 .
[47] Christiaan J. J. Paredis,et al. Using Parameterized Pareto Sets to Model Design Concepts , 2010 .
[48] Ilan Kroo,et al. Collaborative Optimization: Status and Directions , 2000 .
[49] Christiaan J. J. Paredis,et al. Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems , 2010 .
[50] S. Chanas. The use of parametric programming in fuzzy linear programming , 1983 .
[51] Jean-Antoine Désidéri,et al. Multilevel strategies for parametric shape optimization in aerodynamics , 2008 .
[52] W. Pedrycz,et al. A fuzzy extension of Saaty's priority theory , 1983 .
[53] A. Messac,et al. The normalized normal constraint method for generating the Pareto frontier , 2003 .
[54] Malcolm McCaig,et al. Permanent magnets in theory and practice , 1977 .
[55] Anne Auger,et al. Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications , 2012, Theor. Comput. Sci..
[56] Trevor A Spedding,et al. Parametric optimization and surface characterization of wire electrical discharge machining process , 1997 .
[57] Darren J. Hartl,et al. Parameterized Design Optimization of a Magnetohydrodynamic Liquid Metal Active Cooling Concept , 2016 .