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A NEW METHOD OF SEQUENTIAL APPROXIMATE OPTIMIZATION FOR STRUCTURAL OPTIMIZATION PROBLEMS
Engineering Optimization, 1995Abstract In this paper a new method of sequential approximate optimization is introduced to solve some structural optimization problems. This new method employs a new intermediate variable which has two variable parameters to linearize the objective and constraint functions in terms of the intermediate variable.
Zheng-Dong Ma, Noboru Kikuchi
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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 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 Kitayama
exaly +2 more sources
International Journal of Computational Methods, 2018 Reliability-based design optimization (RBDO) involves evaluation of probabilistic constraints which can be time-consuming in engineering structural design problems. In this paper, an efficient approach combined sequential optimization with approximate models is suggested for RBDO.
Bao Quoc Doan +3 more
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Sequential Approximate Multiobjective Optimization Using Computational Intelligence
, 2009 Introduces several sophisticated methods for sequential approximate multiobjective optimization using computational intelligence along with real applications, mainly engineering ...
Min Yoon, Yeboon Yun, Hirotaka Nakayama
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On diagonal QP subproblems for sequential approximate optimization
, 2009 Sequential approximate optimization (SAO) methods aimed at structural optimization often use reciprocal-like approximations in a dual setting; the method of moving asymptotes (MMA) and CONLIN are important and telling examples. Using a different (if related) approach, we have previously demonstrated that replacement of the reciprocal approximation by ...
Etman, L.F.P. +2 more
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An Object-Oriented Framework for Sequential Approximate Optimization
9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 2002A sequential approximate optimization method is used to optimize computational expensive or non-smooth output behavior of simulation models. In this paper a flexible and compact object-oriented framework is proposed that supports the implementation and use of a sequential approximate optimization strategy.
Jacobs, J.H. +3 more
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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 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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