Results 211 to 220 of about 18,713 (263)
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An interior-point sequential approximate optimization methodology
Structural and Multidisciplinary Optimization, 2002The use of optimization in a simulation-based design environment has become a common trend in industry today. Computer simulation tools are commonplace in many engineering disciplines, providing the designers with tools to evaluate a design’s performance without building a physical prototype.
Victor Perez, John Renaud, Layne Watson
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Optimization design of rockoons based on improved sequential approximation optimization
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2021In this study, a multidisciplinary design optimization framework and detailed procedure based on improved sequential approximation optimization (SAO) and 3-degree-of-freedom trajectory simulation are proposed for conceptual design and parameters optimization of a rockoon (from rocket and balloon) system.
Jiaxin Li +4 more
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Parallel Processing in Sequential Approximate Optimization
43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2002The paper presents a first level of coarse-grained parallelization in a sequential approximate optimization framework. A sequential approximate optimization framework builds local approximations of the system every iteration by evaluating a set of design points around the current design.
Victor Perez, Thomas Apker, John Renaud
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Sequential Approximate Optimization using Radial Basis Function network for engineering optimization
Optimization and Engineering, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masao Arakawa +2 more
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Sequential approximate optimization in the problem solving environment WBCSim
Proceedings of the 2010 Spring Simulation Multiconference, 2010This paper presents a data driven, surrogate based optimization algorithm that uses a sequential approximate optimization (SAO) framework and a statistical sampling approach. The biggest concern in using the SAO framework based on statistical sampling is the generation of the required database.
Shubhangi G. Deshpande, Layne T. Watson
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Simulation Modelling Practice and Theory, 2022
Abstract To enhance the performance of heat exchangers (HEs), it is important to make the flow uniform and is to reduce the pressure. To achieve them simultaneously, baffle with small holes is often installed in the header of HEs, but the configuration is completely determined by the engineer's experience.
Satoshi Tabuchi, Satoshi Kitayama
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Abstract To enhance the performance of heat exchangers (HEs), it is important to make the flow uniform and is to reduce the pressure. To achieve them simultaneously, baffle with small holes is often installed in the header of HEs, but the configuration is completely determined by the engineer's experience.
Satoshi Tabuchi, Satoshi Kitayama
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Sequential approximation optimization assisted particle swarm optimization for expensive problems
Applied Soft Computing, 2019Abstract In this paper, an efficient sequential approximation optimization assisted particle swarm optimization algorithm is proposed for optimization of expensive problems. This algorithm makes a good balance between the search ability of particle swarm optimization and sequential approximation optimization. Specifically, the proposed algorithm uses
Xiwen Cai, Liang Gao 0001, Fan Li
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Sequential Approximate Optimization
2009In many practical engineering design problems, the form of objective functions is not given explicitly in terms of design variables. Given the value of design variables, under this circumstance, the value of objective functions is obtained by some analysis such as structural analysis, fluid mechanic analysis, and thermodynamic analysis.
Hirotaka Nakayama, Yeboon Yun, Min Yoon
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Approximately Optimal One-Parameter Boundaries for Group Sequential Trials
Biometrics, 1987We present a class of group sequential tests, indexed by a single parameter, that yields approximately optimal results. We also provide tables of key values to help in the design of group sequential tests that meet selected specifications.
Wang, Samuel K., Tsiatis, Anastasios A.
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Sequential Approximate Optimization in an NLP Filter Framework
11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2006Nonlinear programming (NLP) filter methods are a recent development in trust region sequential quadratic programming (SQP) algorithms. The NLP filter is a bi-objective representation of the two competing aims to minimize the objective function and to satisfy the constraints.
L. F. Pascal Etman +2 more
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