Nazarii Muliak, A. Zdobytskyi, M. Lobur, R. Kaczyński
{"title":"Optimization of Electromechanical Systems by Intelligent Design Methods","authors":"Nazarii Muliak, A. Zdobytskyi, M. Lobur, R. Kaczyński","doi":"10.1109/MEMSTECH55132.2022.10002914","DOIUrl":null,"url":null,"abstract":"The paper considers the possibility of using several algorithms to optimize practical problems. Several analytical data were obtained, based on which it is possible to compare the algorithms’ analysis regarding their optimization efficiency. We investigated the optimal algorithm for the technological design of micro and electromechanical systems (MEMS), using efficiency analysis and practical implementation of individual generative design methods We examined the possibilities of solving optimization problems in the design of complex systems, using the modification of these methods. The study of algorithm modifications makes it possible to increase the accuracy and speed of solving generative design problems, using some specified variables.","PeriodicalId":348465,"journal":{"name":"2022 IEEE XVIII International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE XVIII International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMSTECH55132.2022.10002914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper considers the possibility of using several algorithms to optimize practical problems. Several analytical data were obtained, based on which it is possible to compare the algorithms’ analysis regarding their optimization efficiency. We investigated the optimal algorithm for the technological design of micro and electromechanical systems (MEMS), using efficiency analysis and practical implementation of individual generative design methods We examined the possibilities of solving optimization problems in the design of complex systems, using the modification of these methods. The study of algorithm modifications makes it possible to increase the accuracy and speed of solving generative design problems, using some specified variables.