{"title":"基于档案的差分进化求解全局轨迹优化问题","authors":"V. Stanovov, S. Akhmedova, E. Semenkin","doi":"10.1109/INFOTECH.2018.8510715","DOIUrl":null,"url":null,"abstract":"The paper describes application of differential evolution with modified mutation strategy to the global trajectory optimization problems. The problems are provided by the European Space Agency and represent trajectories of several well-known spacecraft, namely, Cassini, Rosetta and Messenger. Using archive based differential evolution, global best solutions were found for these problems, and the best known solution was found for the Cassini mission.","PeriodicalId":142221,"journal":{"name":"2018 International Conference on Information Technologies (InfoTech)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solving the Global Trajectory Optimization Problem with Archive-Based Differential Evolution\",\"authors\":\"V. Stanovov, S. Akhmedova, E. Semenkin\",\"doi\":\"10.1109/INFOTECH.2018.8510715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes application of differential evolution with modified mutation strategy to the global trajectory optimization problems. The problems are provided by the European Space Agency and represent trajectories of several well-known spacecraft, namely, Cassini, Rosetta and Messenger. Using archive based differential evolution, global best solutions were found for these problems, and the best known solution was found for the Cassini mission.\",\"PeriodicalId\":142221,\"journal\":{\"name\":\"2018 International Conference on Information Technologies (InfoTech)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Information Technologies (InfoTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOTECH.2018.8510715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information Technologies (InfoTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOTECH.2018.8510715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solving the Global Trajectory Optimization Problem with Archive-Based Differential Evolution
The paper describes application of differential evolution with modified mutation strategy to the global trajectory optimization problems. The problems are provided by the European Space Agency and represent trajectories of several well-known spacecraft, namely, Cassini, Rosetta and Messenger. Using archive based differential evolution, global best solutions were found for these problems, and the best known solution was found for the Cassini mission.
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