Results 11 to 20 of about 133,335 (273)
Surrogate-Based Simulation Optimization [PDF]
, 2021 Simulation models are widely used in practice to facilitate decision-making in a complex, dynamic and stochastic environment. But they are computationally expensive to execute and optimize, due to lack of analytical tractability. Simulation optimization is concerned with developing efficient sampling schemes -- subject to a computational budget -- to ...
Hong, L. Jeff, Zhang, Xiaowei
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Variable reduction for surrogate-based optimization [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020 Real-world problems such as computational fluid dynamics simulations and finite element analyses are computationally expensive. A standard approach to mitigating the high computational expense is Surrogate-Based Optimization (SBO). Yet, due to the high-dimensionality of many simulation problems, SBO is not directly applicable or not efficient. Reducing
Rehbach, Frederik +2 more
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Surrogate-Based Agents for Constrained Optimization [PDF]
53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA, 2012 Multi-agent systems have been used to solve complex problems by decomposing them into autonomous subtasks. Drawing inspiration from both multi-surrogate and multi-agent techniques, we dene in this article optimization subtasks that employ dierent approximations of the data in subregions through the choice of surrogate, which creates surrogatebased ...
Villanueva, Diane +3 more
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Surrogate-based optimization for variational quantum algorithms.
Proposed for presentation at the American Physical Society March Meeting held March 14-18, 2022 in Chicago, IL., 2022 Published ...
Ryan Shaffer, Lucas Kocia, Mohan Sarovar
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Surrogate-based optimization for overflow spillway design [PDF]
LHB, 2021 Overflow spillways are essential structures of dam projects, releasing surplus flood water to ensure dam safety.
Oukaili, Fatna +5 more
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Surrogate-based analysis and optimization [PDF]
Progress in Aerospace Sciences, 2005 A major challenge to the successful full-scale development of modem aerospace systems is to address competing objectives such as improved performance, reduced costs, and enhanced safety. Accurate, high-fidelity models are typically time consuming and computationally expensive.
Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA ( host institution ) +6 more
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Complex & Intelligent Systems, 2021 When solving expensive multi-objective optimization problems, surrogate models are often used to reduce the number of true evaluations. Based on predictions from the surrogate models, promising candidate solutions, also referred to as infill solutions ...
Bing Wang +2 more
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Surrogate‐based methods for black‐box optimization [PDF]
International Transactions in Operational Research, 2016 AbstractIn this paper, we survey methods that are currently used in black‐box optimization, that is, the kind of problems whose objective functions are very expensive to evaluate and no analytical or derivative information is available. We concentrate on a particular family of methods, in which surrogate (or meta) models are iteratively constructed and
Vu, Ky Khac +3 more
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Reliability-based optimization of ship structure based on interest subdomain dynamic surrogate model
Zhongguo Jianchuan Yanjiu, 2021 ObjectivesAiming at the difficulty of ensuring the fitting accuracy and optimization efficiency of surrogate models due to the high nonlinearity in ship structure reliability-based optimization design, a reliability-based ship structure optimization ...
Wenjun LUO, Deyu WANG
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Efficient simulation-driven design optimization of antennas using co-kriging [PDF]
, 2012 We present an efficient technique for design optimization of antenna structures. Our approach exploits coarse-discretization electromagnetic (EM) simulations of the antenna of interest that are used to create its fast initial model (a surrogate) through ...
Couckuyt, Ivo +3 more
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