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Titlebook: Operations Research Proceedings 2018; Selected Papers of t Bernard Fortz,Martine Labbé Conference proceedings 2019 Springer Nature Switzerl

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書目名稱Operations Research Proceedings 2018
副標題Selected Papers of t
編輯Bernard Fortz,Martine Labbé
視頻videohttp://file.papertrans.cn/703/702128/702128.mp4
概述Presents latest findings from operations research (OR).Gathers selected papers from a leading OR conference
叢書名稱Operations Research Proceedings
圖書封面Titlebook: Operations Research Proceedings 2018; Selected Papers of t Bernard Fortz,Martine Labbé Conference proceedings 2019 Springer Nature Switzerl
描述This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2018), which was held at the Free University of Brussels, Belgium on September 12 - 14, 2018, and was jointly organized by the German Operations Research Society (GOR) and the Belgian Operational Research Society (ORBEL). 575 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in parallel topic streams, as well as special award sessions..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 2019
關(guān)鍵詞OR 2018; business analytics; decision analytics; digital economy; mathematical optimization; multicriteri
版次1
doihttps://doi.org/10.1007/978-3-030-18500-8
isbn_softcover978-3-030-18499-5
isbn_ebook978-3-030-18500-8Series ISSN 0721-5924 Series E-ISSN 2197-9294
issn_series 0721-5924
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Profit-Oriented Feature Selection in Credit Scoring Applicationsbased framework that uses the Expected Maximum Profit measure (EMP) as a fitness function. Experiments on multiple credit scoring data sets provide evidence that EMP-maximizing feature selection helps to develop scorecards that yield a higher expected profit compared to conventional feature selection strategies.
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A Sweep-Plane Algorithm for the Computation of the Volume of a Union of Polytopesold algorithm by Bieri and Nef (Linear Algebra Appl 52:69–97, 1983) for this purpose. The algorithm uses a sweep-plane to incrementally calculate the volume of the disjunctive set as a function of the offset parameter of the sweep-plane.
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On a Polynomially Solvable Subclass of the Clique Problem with Applications in Energy-Efficient Timen how to more efficiently find the stable sets required to describe the convex hull as well as a polynomial-time separation algorithm. Finally, the theoretical results were successfully applied to energy-efficient underground and railway scheduling.
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An Adaptive Large Neighborhood Search for Routing and Scheduling Carsharing Service Requestshe hierarchical objective function. Then, all shuttles are occupied evenly and results reach a high number of served requests. The algorithm can support fleet managers to handle a complex problem within their daily business.
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