Journal articles on the topic 'Surrogate Function'
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THIEL, MARCO, M. CARMEN ROMANO, UDO SCHWARZ, JÜRGEN KURTHS, and JENS TIMMER. "SURROGATE-BASED HYPOTHESIS TEST WITHOUT SURROGATES." International Journal of Bifurcation and Chaos 14, no. 06 (June 2004): 2107–14. http://dx.doi.org/10.1142/s0218127404010527.
Full textZiff, Elizabeth. "“Honey, I Want to Be a Surrogate”: How Military Spouses Negotiate and Navigate Surrogacy With Their Service Member Husbands." Journal of Family Issues 40, no. 18 (July 18, 2019): 2774–800. http://dx.doi.org/10.1177/0192513x19862843.
Full textAmbarwati, Mega Dewi, and Ghina Azmita Kamila. "THE EVALUATION OF SURROGACY’S LEGAL SYSTEM IN INDONESIA AS COMPARISON TO INDIA’S LEGISLATION." Diponegoro Law Review 4, no. 2 (October 1, 2019): 167. http://dx.doi.org/10.14710/dilrev.4.2.2019.167-180.
Full textTenne, Yoel. "An Analysis of the RBF Hyperparameter Impact on Surrogate-Assisted Evolutionary Optimization." Scientific Programming 2022 (December 20, 2022): 1–12. http://dx.doi.org/10.1155/2022/5175941.
Full textLiu, Bolin, and Liyang Xie. "Reliability Analysis of Structures by Iterative Improved Ensemble of Surrogate Method." Shock and Vibration 2019 (October 24, 2019): 1–13. http://dx.doi.org/10.1155/2019/6357104.
Full textZeng, Wei, Xian Chao Wang, and Ying Sheng Wang. "Surrogating for High Dimensional Computationally Expensive Multi-Modal Functions with Elliptical Basis Function Models." Applied Mechanics and Materials 733 (February 2015): 880–84. http://dx.doi.org/10.4028/www.scientific.net/amm.733.880.
Full textIuliano, Emiliano. "Efficient Design Optimization Assisted by Sequential Surrogate Models." International Journal of Aerospace Engineering 2019 (May 12, 2019): 1–34. http://dx.doi.org/10.1155/2019/4937261.
Full textMalmquist, Anna, and Sonja Höjerström. "Constructions of surrogates, egg donors, and mothers: Swedish gay fathers’ narratives." Feminism & Psychology 30, no. 4 (May 14, 2020): 508–28. http://dx.doi.org/10.1177/0959353520922415.
Full text&NA;. "Is endothelial function a useful surrogate?" Inpharma Weekly &NA;, no. 1256 (September 2000): 2. http://dx.doi.org/10.2165/00128413-200012560-00002.
Full textChodos, Alan, and Eric Myers. "Testing the surrogate zeta-function method." Canadian Journal of Physics 64, no. 5 (May 1, 1986): 633–36. http://dx.doi.org/10.1139/p86-117.
Full textBemporad, Alberto. "Global optimization via inverse distance weighting and radial basis functions." Computational Optimization and Applications 77, no. 2 (July 27, 2020): 571–95. http://dx.doi.org/10.1007/s10589-020-00215-w.
Full textCunningham, Thomas V., Leslie P. Scheunemann, Robert M. Arnold, and Douglas White. "How do clinicians prepare family members for the role of surrogate decision-maker?" Journal of Medical Ethics 44, no. 1 (July 17, 2017): 21–26. http://dx.doi.org/10.1136/medethics-2016-103808.
Full textPan, Jeng-Shyang, Li-Gang Zhang, Shu-Chuan Chu, Chin-Shiuh Shieh, and Junzo Watada. "Surrogate-Assisted Hybrid Meta-Heuristic Algorithm with an Add-Point Strategy for a Wireless Sensor Network." Entropy 25, no. 2 (February 9, 2023): 317. http://dx.doi.org/10.3390/e25020317.
Full textYounis, Adel, and Zuomin Dong. "High-Fidelity Surrogate Based Multi-Objective Optimization Algorithm." Algorithms 15, no. 8 (August 7, 2022): 279. http://dx.doi.org/10.3390/a15080279.
Full textDushatskiy, Arkadiy, Tanja Alderliesten, and Peter A. N. Bosman. "A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies." ACM Transactions on Evolutionary Learning and Optimization 1, no. 2 (July 23, 2021): 1–23. http://dx.doi.org/10.1145/3453141.
Full textHavinga, Jos, Gerrit Klaseboer, and A. H. van den Boogaard. "Sequential Optimization of Strip Bending Process Using Multiquadric Radial Basis Function Surrogate Models." Key Engineering Materials 554-557 (June 2013): 911–18. http://dx.doi.org/10.4028/www.scientific.net/kem.554-557.911.
Full textLu, Dan, and Daniel Ricciuto. "Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques." Geoscientific Model Development 12, no. 5 (May 6, 2019): 1791–807. http://dx.doi.org/10.5194/gmd-12-1791-2019.
Full textSolomon, Michael R. "The Missing Link: Surrogate Consumers in the Marketing Chain." Journal of Marketing 50, no. 4 (October 1986): 208–18. http://dx.doi.org/10.1177/002224298605000406.
Full textOuyang, Qi, Xiao Qian Chen, and Wen Yao. "Comparison of the Function Regression Method and Data Classification Method for Limit State Function Approximation." Advanced Materials Research 774-776 (September 2013): 1738–44. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1738.
Full textChen, Guodong, Kai Zhang, Liming Zhang, Xiaoming Xue, Dezhuang Ji, Chuanjin Yao, Jun Yao, and Yongfei Yang. "Global and Local Surrogate-Model-Assisted Differential Evolution for Waterflooding Production Optimization." SPE Journal 25, no. 01 (December 9, 2019): 105–18. http://dx.doi.org/10.2118/199357-pa.
Full textBadhurshah, Rameez, and Abdus Samad. "Surrogate Assisted Design Optimization of an Air Turbine." International Journal of Rotating Machinery 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/563483.
Full textBerkemeier, Manuel, and Sebastian Peitz. "Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models." Mathematical and Computational Applications 26, no. 2 (April 15, 2021): 31. http://dx.doi.org/10.3390/mca26020031.
Full textClaywell, Brian C., Vu Dinh, Mathieu Fourment, Connor O. McCoy, and Frederick A. Matsen IV. "A Surrogate Function for One-Dimensional Phylogenetic Likelihoods." Molecular Biology and Evolution 35, no. 1 (September 26, 2017): 242–46. http://dx.doi.org/10.1093/molbev/msx253.
Full textFrick, Matthias, and Franz Weidinger. "Endothelial Function: A Surrogate Endpoint in Cardiovascular Studies?" Current Pharmaceutical Design 13, no. 17 (June 1, 2007): 1741–50. http://dx.doi.org/10.2174/138161207780831211.
Full textKeane, Andy J., and Ivan I. Voutchkov. "Robust design optimization using surrogate models." Journal of Computational Design and Engineering 7, no. 1 (February 1, 2020): 44–55. http://dx.doi.org/10.1093/jcde/qwaa005.
Full textYi, Jin, Yichi Shen, and Christine A. Shoemaker. "A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems." Structural and Multidisciplinary Optimization 62, no. 4 (May 17, 2020): 1787–807. http://dx.doi.org/10.1007/s00158-020-02575-7.
Full textMonakov, A. A. "A Versatile Algorithm for Autofocusing SAR Images." Journal of the Russian Universities. Radioelectronics 24, no. 1 (February 26, 2021): 22–33. http://dx.doi.org/10.32603/1993-8985-2021-24-1-22-33.
Full textKunakote, Tawatchai, and Sujin Bureerat. "Surrogate-Assisted Multiobjective Evolutionary Algorithms for Structural Shape and Sizing Optimisation." Mathematical Problems in Engineering 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/695172.
Full textMai, Hau T., Jaewook Lee, Joowon Kang, H. Nguyen-Xuan, and Jaehong Lee. "An Improved Blind Kriging Surrogate Model for Design Optimization Problems." Mathematics 10, no. 16 (August 12, 2022): 2906. http://dx.doi.org/10.3390/math10162906.
Full textZenke, Friedemann, and Tim P. Vogels. "The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks." Neural Computation 33, no. 4 (2021): 899–925. http://dx.doi.org/10.1162/neco_a_01367.
Full textZeng, Wei, Yue Yang, Huan Xie, and Lin-jun Tong. "CF-Kriging surrogate model based on the combination forecasting method." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230, no. 18 (August 9, 2016): 3274–84. http://dx.doi.org/10.1177/0954406215610149.
Full textBajer, Lukáš, Zbyněk Pitra, Jakub Repický, and Martin Holeňa. "Gaussian Process Surrogate Models for the CMA Evolution Strategy." Evolutionary Computation 27, no. 4 (December 2019): 665–97. http://dx.doi.org/10.1162/evco_a_00244.
Full textHengel, Richard L., and Joseph A. Kovacs. "Surrogate Markers of Immune Function in Human Immunodeficiency Virus–Infected Patients: What Are They Surrogates For?" Journal of Infectious Diseases 188, no. 12 (December 15, 2003): 1791–93. http://dx.doi.org/10.1086/379901.
Full textChechile, Richard A. "Using Hazard and Surrogate Functions for Understanding Memory and Forgetting." AppliedMath 2, no. 4 (October 4, 2022): 518–46. http://dx.doi.org/10.3390/appliedmath2040031.
Full textOzol, Cengiz. "The Surrogate Wage Function and Capital: Theory with Measurement." Canadian Journal of Economics 24, no. 1 (February 1991): 175. http://dx.doi.org/10.2307/135485.
Full textSUGAI, Tomotaka, Kohei SHINTANI, Atsuji ABE, and Yasushi YAMAMOTO. "Surrogate modeling of transfer function using feature extraction method." Proceedings of Design & Systems Conference 2019.29 (2019): 2110. http://dx.doi.org/10.1299/jsmedsd.2019.29.2110.
Full textPacheco, Jorge E., Cristina H. Amon, and Susan Finger. "Bayesian Surrogates Applied to Conceptual Stages of the Engineering Design Process." Journal of Mechanical Design 125, no. 4 (December 1, 2003): 664–72. http://dx.doi.org/10.1115/1.1631580.
Full textJenkins, William F., and Peter Gerstoft. "Acquisition functions in Bayesian optimization of ocean acoustic waveguides using Gaussian processes." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A267. http://dx.doi.org/10.1121/10.0011293.
Full textKaridis, J. P., and S. R. Turns. "Efficient Optimization of Computationally Expensive Objective Functions." Journal of Mechanisms, Transmissions, and Automation in Design 108, no. 3 (September 1, 1986): 336–39. http://dx.doi.org/10.1115/1.3258736.
Full textLu, Li, Yizhong Wu, Qi Zhang, and Ping Qiao. "A Transformation-Based Improved Kriging Method for the Black Box Problem in Reliability-Based Design Optimization." Mathematics 11, no. 1 (January 1, 2023): 218. http://dx.doi.org/10.3390/math11010218.
Full textEggert, R. J., and R. W. Mayne. "Probabilistic Optimal Design Using Successive Surrogate Probability Density Functions." Journal of Mechanical Design 115, no. 3 (September 1, 1993): 385–91. http://dx.doi.org/10.1115/1.2919203.
Full textJenkins, William F., and Peter Gerstoft. "Applications of Bayesian optimization with a Gaussian process surrogate model in ocean acoustics." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A157. http://dx.doi.org/10.1121/10.0015876.
Full textOthman, Norazila, and Masahiro Kanazaki. "Development of Digital Flight Motion Methodology Based on Aerodynamic Derivatives Approximation." Journal of Robotics and Mechatronics 28, no. 2 (April 19, 2016): 215–25. http://dx.doi.org/10.20965/jrm.2016.p0215.
Full textZhao, Mengjie, Kai Zhang, Guodong Chen, Xinggang Zhao, Jun Yao, Chuanjin Yao, Liming Zhang, and Yongfei Yang. "A Classification-Based Surrogate-Assisted Multiobjective Evolutionary Algorithm for Production Optimization under Geological Uncertainty." SPE Journal 25, no. 05 (June 18, 2020): 2450–69. http://dx.doi.org/10.2118/201229-pa.
Full textShafie Khorassani, Fatema, Jeremy M. G. Taylor, Niko Kaciroti, and Michael R. Elliott. "Incorporating Covariates into Measures of Surrogate Paradox Risk." Stats 6, no. 1 (February 17, 2023): 322–44. http://dx.doi.org/10.3390/stats6010020.
Full textSwingler, Kevin. "Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples." Evolutionary Computation 28, no. 2 (June 2020): 317–38. http://dx.doi.org/10.1162/evco_a_00257.
Full textProtonotarios, Nicholas E., George A. Kastis, Andreas D. Fotopoulos, Andreas G. Tzakos, Dimitrios Vlachos, and Nikolaos Dikaios. "Motion-Compensated PET Image Reconstruction via Separable Parabolic Surrogates." Mathematics 11, no. 1 (December 23, 2022): 55. http://dx.doi.org/10.3390/math11010055.
Full textCandida Fratazzi and Jixiao Niu. "Accelerated orphan drug approval: surrogate endpoints." World Journal of Advanced Pharmaceutical and Medical Research 2, no. 1 (January 30, 2022): 001–7. http://dx.doi.org/10.53346/wjapmr.2022.2.1.0021.
Full textKamali, M., K. Ponnambalam, and E. D. Soulis. "Computationally efficient calibration of WATCLASS Hydrologic models using surrogate optimization." Hydrology and Earth System Sciences Discussions 4, no. 4 (July 23, 2007): 2307–21. http://dx.doi.org/10.5194/hessd-4-2307-2007.
Full textNa, Chongzheng, and Huixin Liu. "A Historical Experience Surrogate Model Assisted Particle Swarm Optimization for Expensive Black-box Problems." Highlights in Science, Engineering and Technology 7 (August 3, 2022): 83–88. http://dx.doi.org/10.54097/hset.v7i.1021.
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