Results 121 to 130 of about 237,159 (167)
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Optimization of Source Locations and Parameters for Network Structure Objects
Automation and Remote Control, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kamil R. Aida-zade, E. R. Ashrafova
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Structural optimization with fuzzy parameters
Computers & Structures, 1990Abstract In this paper, the process of optimum design of structures is developed in which design parameters with a fuzzy nature are considered. The fuzzy optimum problem is transformed into an ordinary unconstrained optimum problem by expressing the objective function in the form of fuzzy expected cost.
Yeh Yi-Cherng, Hsu Deh-Shiu
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Parameter Optimization in Hierarchical Structures
1999The genetic-algorithm-based method described in this paper can be used to identify a parameter set whose value defines the gene regulation circuit. To demonstrate the effectiveness of the approach we choose Drosophila segmentation processes. In the processes, we search the parameter set of diffusion constant and transcription ratio of each gene.
Shugo Hamahashi, Hiroaki Kitano
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Parameter free structural optimization applied to the shape optimization of smart structures
Finite Elements in Analysis and Design, 2016This contribution applies structural shape optimization techniques to actuated smart structures. In order to combine these two disciplines, the idea of Optimal Actuation and an enlarged filtering scheme are presented. A parameter free optimization scheme is used, which allows the treatment of different branches of structural optimization using an ...
Helmut Masching, Kai-Uwe Bletzinger
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Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network
Neural Computation, 2021This work addresses the problem of network pruning and proposes a novel joint training method based on a multiobjective optimization model. Most of the state-of-the-art pruning methods rely on user experience for selecting the sparsity ratio of the weight matrices or tensors, and thus suffer from severe performance reduction with inappropriate user ...
Junhao Huang 0002 +2 more
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Study on optimization of structure parameters to the penetrator
2016 IEEE International Conference on Mechatronics and Automation, 2016The impact type penetrator is a compact, lightweight and low power consumption device, using internal hammering mechanism to move downward by compaction of lunar soil in space exploration. This paper proposes an optimal design method for the impact type penetrator.
Yi Shen +4 more
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Robustness optimization of structural and controller parameters
Journal of Guidance, Control, and Dynamics, 1987In this paper, several novel ideas in the definition and optimization of robustness for structures and structural controllers are presented. A robustness bound attributable to Patel and Toda is developed using eigenvalue conditioning analysis. Homotopy and sequential linear programming algorithms are used in lieu of conventional nonlinear programming ...
KYONG LIM, JOHN JUNKINS
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Optimization of actuator placement and structural parameters in smart structures
SPIE Proceedings, 1999Adaptive structures optimal design problems and solution methods are presented and discussed for the cases of shape control and active damping. A general method to solve simultaneously optimal placement and control problems for active damping applications is outlined.
Horst Baier, Guido Locatelli
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Optimal adaptive estimation: Structure and parameter adaptation
1970 IEEE Symposium on Adaptive Processes (9th) Decision and Control, 1970Optimal structure and parameter adaptive estimators have been obtained for continuous as well as discrete data gaussian process models with linear dynamics. Specifically, the essentially nonlinear adaptive estimators are shown to be decomposable (partition theorem) into two parts, a linear non-adaptive part consisting of a bank of Kalman-Bucy filters ...
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A nonlinear optimization algorithm for the estimation of structure and motion parameters
Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003A nonlinear least-squares optimization technique is proposed which uses the Levenberg-Marquardt method and estimates the motion and structure parameters to a global scale factor by minimizing an objective function. This objective function is the mean-square difference between the measured coordinates of feature points in the image plane and the ...
R. V. Raja Kumar 0002 +2 more
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