学术报告|数据魔术师运筹优化及人工智能系列讲座第23期（2021年10月13日 晚上8：30-10：00，英文）

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数据魔术师

运筹优化及人工智能系列讲座第23期

【活动信息】

Titile: Stochastic Vehicle Routing: an Overview and Some Recent Advances

主 讲 人: Michel Gendreau MAGI and CIRRELT École Polytechnique de Montréal

主 持 人: 程春 东北财经大学助理教授

活动时间: 2021年10月13日 20：30 - 22：00 讲座语言：English

主办单位：数据魔术师

直播平台：通过微信粉丝群发布腾讯会议号及密码

赞助单位：杉数科技有限公司

【主讲人简介】

Michel Gendreau

MAGI and CIRRELT

École Polytechnique de Montréal

Bio: Michel Gendreau is Professor of Operations Research in the Department of Mathematics and Industrial Engineering of Polytechnique Montréal (Canada). His main research area is the application of operations research methods to transportation and logistics systems planning and operation, energy production and storage, healthcare, and related problems. Dr. Gendreau has published more than 380 papers in peer-reviewed journals and conference proceedings. He is also the co-editor of eight books. Dr. Gendreau was Editor in chief of Transportation Science from 2009 to 2014. In 2015, Dr. Gendreau received the Robert Herman Lifetime Achievement Award of the Transportation Science & Logistics Society of INFORMS.

【报告摘要】

Abstract:While Vehicle Routing Problems have now been studied extensively for more than 60 years, those in which some parameters are uncertain at the time where the routes are made have received significantly less attention, in spite of the fact that there are many real-life settings where key parameters are not known with certainty.

In this talk, we will examine the main classes of Stochastic Vehicle Routing Problems: problems with stochastic demands, stochastic customers, and stochastic service or travel times. We will first emphasize the main approaches for modeling and tackling uncertainty: a priori models, a posteriori approaches, and chance-constrained models. The remainder of the talk will be devoted to a brief presentation of some of our recent work in the area.