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Parallel Lipschitz Global Optimization Method
Современные информационные технологии и IT-образование, 2019 The article is devoted to the description of the developed approach for solving Lipschitz global optimization problems. The main goal of the proposed approach is to accelerate the search for a global minimum of the Lipschitz function through the use of ...
Alexey S. Gorbunov, Mikhail A. Posypkin
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Zhongguo Jianchuan Yanjiu, 2020 Objectives Aiming at the problem that it is difficult to ensure global approximation accuracy and computational efficiency in the traditional reliability-based design optimization of ship structures, a reliability optimization strategy based on a dynamic
LIU Jing, WANG Deyu
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Kriging-Based Space Exploration Global Optimization Method in Aerodynamic Design
International Journal of Aerospace Engineering, 2023 For complicated aerodynamic design problems, the efficient global optimization method suffered from the defect of the incorrect portrayal of the design space, resulting in bad global convergence and efficiency performance.
Wei Zhang +3 more
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Applied Sciences, 2022 Most geophysical inversions face the problem of non-uniqueness, which poses a challenge in the mapping and delineation of the subsurface anomalies. To tackle this challenge, a combined local and global optimization approach is considered for jointly ...
Paul Edigbue +8 more
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Global optimization of grillages
Lietuvos Matematikos Rinkinys, 2023 Important problem in civil engineering is obtaining optimal pile placement schemes for grillage-type foundations in order to reduce the number of piles and reactive forces arising in piles.
Rimantas Belevičius, Dmitrij Šešok
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Solving the nonlinear transportation problem by global optimization
Transport, 2010 The aim of this paper is to present the suitability of three different global optimization methods for specifically the exact optimum solution of the nonlinear transportation problem (NTP). The evaluated global optimization methods include the branch and
U. Klanšek, M. Pšunder
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Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2019 The objective of this research is to efficiently solve discontinuous optimization problems as well as optimization problems with large infeasible regions in the design variables space.
Naohiko BAN, Wataru YAMAZAKI
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Mendel, 2023 The filled function method is an approach to finding global minimum points of multidimensional unconstrained global optimization problems. The conventional parametric filled functions have computational weaknesses when they are employed in some ...
Ridwan Pandiya +3 more
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Advances in Mechanical Engineering, 2018 The purpose of this article is to improve the convergence efficiency of the traditional efficient global optimization method. Furthermore, we try a graphics processing unit–based parallel computing method to improve the computing efficiency of the ...
Bing Xu, Yong Cai
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Recent advances in surrogate-based optimization [PDF]
, 2009 The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization.
Alexander I.J. Forrester +3 more
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