{"title":"遗传算法在三相屏蔽导线优化中的应用","authors":"K. Bednarek, R. Nawrowski, A. Tomczewski","doi":"10.1109/PCEE.2000.873632","DOIUrl":null,"url":null,"abstract":"The paper presents a comparison of classical and genetic methods of dimensional optimization of three-phase heavy-current lines (busways), screened with a view to minimizing the use of material of phase conductors and their screen. A mathematical model is presented for electro-dynamical calculations of the screened line, determining the distribution of current density and temperature in the conductors and their screen, as well as electrodynamical forces. Special attention is paid to the possibility of improving the performance of optimization calculation through application of the genetic method and computers provided with several, simultaneously operating processors. Results of the calculations for various optimization methods are presented and discussion of the results is enclosed.","PeriodicalId":369394,"journal":{"name":"Proceedings International Conference on Parallel Computing in Electrical Engineering. PARELEC 2000","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"An application of genetic algorithm for three phases screened conductors optimization\",\"authors\":\"K. Bednarek, R. Nawrowski, A. Tomczewski\",\"doi\":\"10.1109/PCEE.2000.873632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a comparison of classical and genetic methods of dimensional optimization of three-phase heavy-current lines (busways), screened with a view to minimizing the use of material of phase conductors and their screen. A mathematical model is presented for electro-dynamical calculations of the screened line, determining the distribution of current density and temperature in the conductors and their screen, as well as electrodynamical forces. Special attention is paid to the possibility of improving the performance of optimization calculation through application of the genetic method and computers provided with several, simultaneously operating processors. Results of the calculations for various optimization methods are presented and discussion of the results is enclosed.\",\"PeriodicalId\":369394,\"journal\":{\"name\":\"Proceedings International Conference on Parallel Computing in Electrical Engineering. PARELEC 2000\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Conference on Parallel Computing in Electrical Engineering. PARELEC 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCEE.2000.873632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference on Parallel Computing in Electrical Engineering. PARELEC 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCEE.2000.873632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An application of genetic algorithm for three phases screened conductors optimization
The paper presents a comparison of classical and genetic methods of dimensional optimization of three-phase heavy-current lines (busways), screened with a view to minimizing the use of material of phase conductors and their screen. A mathematical model is presented for electro-dynamical calculations of the screened line, determining the distribution of current density and temperature in the conductors and their screen, as well as electrodynamical forces. Special attention is paid to the possibility of improving the performance of optimization calculation through application of the genetic method and computers provided with several, simultaneously operating processors. Results of the calculations for various optimization methods are presented and discussion of the results is enclosed.