{"title":"鲁棒优化","authors":"Jean-Philippe Vial","doi":"10.1515/9781400831050","DOIUrl":null,"url":null,"abstract":"Course aims What this course is This is a PhD course on robust optimization. The decision-making problem requires the parameters of underlying models. While applying data to estimate parameters, the uncertainty is unavoidable. Robust optimization is an emerging area to incorporate uncertainty into mathematical programming models. This course will cover various aspects of robust optimization and satisficing frameworks, including nonstochastic and stochastic models.","PeriodicalId":235376,"journal":{"name":"International Conference on Operations Research and Enterprise Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"728","resultStr":"{\"title\":\"Robust Optimization\",\"authors\":\"Jean-Philippe Vial\",\"doi\":\"10.1515/9781400831050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Course aims What this course is This is a PhD course on robust optimization. The decision-making problem requires the parameters of underlying models. While applying data to estimate parameters, the uncertainty is unavoidable. Robust optimization is an emerging area to incorporate uncertainty into mathematical programming models. This course will cover various aspects of robust optimization and satisficing frameworks, including nonstochastic and stochastic models.\",\"PeriodicalId\":235376,\"journal\":{\"name\":\"International Conference on Operations Research and Enterprise Systems\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"728\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Operations Research and Enterprise Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/9781400831050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Operations Research and Enterprise Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/9781400831050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Course aims What this course is This is a PhD course on robust optimization. The decision-making problem requires the parameters of underlying models. While applying data to estimate parameters, the uncertainty is unavoidable. Robust optimization is an emerging area to incorporate uncertainty into mathematical programming models. This course will cover various aspects of robust optimization and satisficing frameworks, including nonstochastic and stochastic models.
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