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Titlebook: Operations Research Proceedings 2022; Selected Papers of t Oliver Grothe,Stefan Nickel,Oliver Stein Conference proceedings 2023 The Editor(

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書目名稱Operations Research Proceedings 2022
副標(biāo)題Selected Papers of t
編輯Oliver Grothe,Stefan Nickel,Oliver Stein
視頻videohttp://file.papertrans.cn/703/702131/702131.mp4
概述Presents latest findings in operations research (OR).Gathers selected papers from a leading OR conference.Summarizes the perspectives of OR researchers on recent and upcoming challenges
叢書名稱Lecture Notes in Operations Research
圖書封面Titlebook: Operations Research Proceedings 2022; Selected Papers of t Oliver Grothe,Stefan Nickel,Oliver Stein Conference proceedings 2023 The Editor(
描述.This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2022), which was held at Karlsruhe Institute of Technology, Germany, on September 6-9, 2022. KIT’s Institute for Operations Research (IOR) hosted the conference together with the Institute for Industrial Production (IIP), the Institute for Automation and Applied Informatics (IAI), and the Institute for Material Handling and Logistics (IFL)...The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it includes problems modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc..
出版日期Conference proceedings 2023
關(guān)鍵詞OR 2022; Business Analytics; Decision Analytics; Digital Economy; Mathematical Optimization; Multicriteri
版次1
doihttps://doi.org/10.1007/978-3-031-24907-5
isbn_softcover978-3-031-24961-7
isbn_ebook978-3-031-24907-5Series ISSN 2731-040X Series E-ISSN 2731-0418
issn_series 2731-040X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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A Quantum Computing Approach for?the?Unit Commitment Problemtly via quantum computing. In this article, we model a UCP with minimum running and idle times as a quadratic unconstrained optimization problem to solve it on quantum computing hardware. First experiments confirm the advantages of our formulation in terms of qubit usage and connectivity and most importantly solution quality.
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