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The Fourth World Congress of Structural and Multidisciplinary optimization

作者： Marian OSTWALD Renata KASPERSKA Poznan University of Technology Institute of Applied Mechanics ul.Piotrowo 3 60-965 PoznanPoland Pedagogical University of Zielona Gora ul.Wojska Polskiego 69 65-625 Zielona GoraPoland

＜正＞The aim of this paper is to present the bicriteria optimization model of the sandwich cylindrical panel under axial compression and external pressure. The objective functions are weight and panel deformability. The deformability is defined as the converse of the panel bending rigidity and it represents some qualitative measure of the panel deflections. The design variables are the thicknesses of the layers. The constraints include a stability condition, stress conditions, the validation of theoretical models, and finally, technological and constructional requirements. The problem was solved with the help of the Pareto concept of optimality, with continuous and discrete sets of the design variables. Results of numerical calculations for panels made of aluminum alloy and steel are presented in the form of tables and diagrams. A comparison of the optimal parameters for the unilayer and the sandwich panels is pr esented.

关键词： multicriteria optimization sandwich structures shell structures

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Recent Advances in multicriteria optimization

Recent Advances in Multicriteria Optimization

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The Fourth World Congress of Structural and Multidisciplinary optimization

作者： ZHANG W H Sino-French Laboratory of Concurrent Engineering Department of Aircraft Manufacturing Engineering Northwestern Polytechnical University 710072 Xi’an Shaanxi China

＜正＞This paper will give a summary of the author’ s recent work. Following contributions will be presented: an improved weighting method using multibounds formulation and convex programming;the min-max method based on the adaptive weighting procedure to obtain uniformly distributed Pareto optima;techniques for Pareto optimum sensitivity analysis based on the gradient projected method （GPM）. Some numerical examples will be given to illustrate the proposed methods.

关键词： multicriteria optimization Optimum sensitivity analysis Structural design

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Decision support for the development,simulation and optimization of dynamic process models

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Frontiers of Chemical Science and Engineering 2022年第2期16卷 210-220页

作者： Norbert Asprion Roger Böttcher Jan Schwientek Johannes Höller Patrick Schwartz Charlie Vanaret Michael Bortz BASF SE 67063 LudwigshafenGermany Fraunhofer ITWM 67663 KaiserslauternGermany

Simulation is besides experimentation the major method for designing,analyzing and optimizing chemical *** ability of simulations to reflect real process behavior strongly depends on model *** and adaption of process models are usually based on available plant *** such a model in various simulation and optimization studies can support the process designer in his *** steady state models there is also a growing demand for dynamic models either to adapt faster to changing conditions or to reflect batch *** this contribution challenges of extending an existing decision support framework for steady state models to dynamic models will be discussed and the resulting opportunities will be demonstrated for distillation and reactor examples.

关键词： decision support multicriteria optimization model validation dynamic model sensitivity analysis

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Pareto optimization as the Basic for Selecting Robotic Mechanic Assembly Technologies

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Applied Mathematics 2024年第6期15卷 421-439页

作者： Valerii Kyrylovych Dragoljub Tanovic Dmytro Melnychuk Liudmyla Mohelnytska Petro Melnychuk Valery Yanovsky Faculty of Computer-Integrated Technologies Mechatronics and Robotics Zhytomyr Polytechnic State University Zhytomyr Ukraine Faculty of Mechanical Engineering University of Belgrade Belgrade Serbia

The task of selecting robotic mechanic assembly technologies (RMAT) is considered as a multi-criteria optimization task, which in this formulation is solved on the set of previously obtained solutions regarding the selection of RMAT. The purpose of the paper is to increase the efficiency of technological preparation of robotic mechanical assembly production of machine and instrument engineering due to a new approach to the selection of RMAT using Pareto optimization and the peculiarities of the selection task formulation. The novelty consists in the further development of a science-based approach to solving multi-criteria selection task, based on the first proposed formalisms of the specified process, which reflect the peculiarities of the selection task formulation, its meaningful essence and the content of the Pareto optimization method. The practical value of the research lies in the proposed engineering-acceptable approach to solving applied multi-criteria selection tasks on the example of RMAT selection, which is invariant to the statement of the selection task, the dimension of the task, and its meaningful essence. The methods of discrete optimization, fuzzy multi-criteria selection of alternatives, and the Pareto optimization method were used for the research. The main results of this work consist of the development of formalisms and the demonstration of the efficiency of the proposed approach for the applied task of RMAT selection. The peculiarity of the developed approach is the combination of Pareto optimization, performed on a discrete set of local criteria. Directions for further research are presented.

关键词： multicriteria optimization Efficiency Fuzzy multicriteria Selection of Alternatives

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