{"title":"汽车动力总成遗传算法优化仿真研究","authors":"C. Fangxiao, L. Xudong, Li Xiaomei","doi":"10.1109/ICICIS.2011.86","DOIUrl":null,"url":null,"abstract":"In order to improve the performance of the car, the paper mainly introduces the use of genetic algorithm for the best match of automotive power train parameters, The author mainly explains the optimized theory and a computer simulation program is developed. Moreover, the author discusses the problems occurring in the object and gives the methods to solve them. The result of simulation is analyzed.","PeriodicalId":255291,"journal":{"name":"2011 International Conference on Internet Computing and Information Services","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulation Study of Optimization of GA for Vehicle Power Train\",\"authors\":\"C. Fangxiao, L. Xudong, Li Xiaomei\",\"doi\":\"10.1109/ICICIS.2011.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the performance of the car, the paper mainly introduces the use of genetic algorithm for the best match of automotive power train parameters, The author mainly explains the optimized theory and a computer simulation program is developed. Moreover, the author discusses the problems occurring in the object and gives the methods to solve them. The result of simulation is analyzed.\",\"PeriodicalId\":255291,\"journal\":{\"name\":\"2011 International Conference on Internet Computing and Information Services\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Internet Computing and Information Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIS.2011.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Internet Computing and Information Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIS.2011.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation Study of Optimization of GA for Vehicle Power Train
In order to improve the performance of the car, the paper mainly introduces the use of genetic algorithm for the best match of automotive power train parameters, The author mainly explains the optimized theory and a computer simulation program is developed. Moreover, the author discusses the problems occurring in the object and gives the methods to solve them. The result of simulation is analyzed.
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