{"title":"基于遗传算法的机头锥型加速结构优化设计","authors":"Zhenxing Tang, Y. Pei","doi":"10.1109/ISCID.2013.52","DOIUrl":null,"url":null,"abstract":"This paper analyzed the process of optimal design of accelerating structure and described the method of optimal design of accelerating structure based on genetic algorithm (GA). We performed the simulation experiment which is optimal design of the accelerating structure with a nose cone shape using the C++ programming language to write GA program. It proved that the algorithm was feasible and it gave a set of geometric parameter with higher shunt impedance for accelerating structure.","PeriodicalId":297027,"journal":{"name":"2013 Sixth International Symposium on Computational Intelligence and Design","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Design of Accelerating Structure with Nose Cone Shape Based on Genetic Algorithm\",\"authors\":\"Zhenxing Tang, Y. Pei\",\"doi\":\"10.1109/ISCID.2013.52\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzed the process of optimal design of accelerating structure and described the method of optimal design of accelerating structure based on genetic algorithm (GA). We performed the simulation experiment which is optimal design of the accelerating structure with a nose cone shape using the C++ programming language to write GA program. It proved that the algorithm was feasible and it gave a set of geometric parameter with higher shunt impedance for accelerating structure.\",\"PeriodicalId\":297027,\"journal\":{\"name\":\"2013 Sixth International Symposium on Computational Intelligence and Design\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Sixth International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2013.52\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Sixth International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2013.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Design of Accelerating Structure with Nose Cone Shape Based on Genetic Algorithm
This paper analyzed the process of optimal design of accelerating structure and described the method of optimal design of accelerating structure based on genetic algorithm (GA). We performed the simulation experiment which is optimal design of the accelerating structure with a nose cone shape using the C++ programming language to write GA program. It proved that the algorithm was feasible and it gave a set of geometric parameter with higher shunt impedance for accelerating structure.
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