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Titlebook: Optimization and Decision Science: Operations Research, Inclusion and Equity; ODS, Florence, Italy Paola Cappanera,Matteo Lapucci,Filippo V

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发表于 2025-3-21 16:24:10 | 显示全部楼层 |阅读模式
书目名称Optimization and Decision Science: Operations Research, Inclusion and Equity
副标题ODS, Florence, Italy
编辑Paola Cappanera,Matteo Lapucci,Filippo Visintin
视频video
概述Concerns the use of quantitative techniques in a number of very different application contexts.Proposes new methodological advances in linear, nonlinear, and combinatorial optimization.Promotes cross-
丛书名称AIRO Springer Series
图书封面Titlebook: Optimization and Decision Science: Operations Research, Inclusion and Equity; ODS, Florence, Italy Paola Cappanera,Matteo Lapucci,Filippo V
描述.This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2.nd., 2022,  organized by the Global Optimization Laboratory within the University of Florence and AIRO (the Italian Association for Operations Research)..The book includes contributions in the fields of operations research, optimization, problem solving, decision making and their applications in the most diverse domains. Moreover, a special focus is set on the challenging theme .Operations Research: inclusion and equity...The work offers 30 contributions, covering a wide spectrum of methodologies and applications. Specifically, they feature the following topics: (i) Variational Inequalities, Equilibria and Games, (ii) Optimization and Machine Learning, (iii) Global Optimization,  (iv) Optimization under Uncertainty, (v) Combinatorial Optimization, (vi) Transportationand Mobility,  (vii) Health Care Management, and (viii) Applications..This book is primarily addressed to researchers and PhD students of the operations research community. However, due to its interdisciplinary content, it will be of high inter
出版日期Conference proceedings 2023
关键词Non-linear optimization; Logistics; Telecommunications; Machine Learning; Decision making; Problem solvin
版次1
doihttps://doi.org/10.1007/978-3-031-28863-0
isbn_softcover978-3-031-28865-4
isbn_ebook978-3-031-28863-0Series ISSN 2523-7047 Series E-ISSN 2523-7055
issn_series 2523-7047
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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2523-7047 r, nonlinear, and combinatorial optimization.Promotes cross-.This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2.nd., 2022,  organized by the Global Optimization Laboratory w
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A Multiclass Network International Migration Model Under Shared Regulations definition and prove its equivalence to a suitably defined variational inequality. Some numerical examples show that the flow distribution under joint regulations can differ from those corresponding to a situation where each government autonomously establishes migration bounds.
发表于 2025-3-22 20:07:16 | 显示全部楼层
Bi-dimensional Assignment in 5G Periodic Schedulingources. We consider four variants of the problem, characterized by different degrees of freedom. Two types of formulations are presented and tested on realistic data, using a general-purpose solver. ..
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GPS Data Mining to Infer Fleet Operations for Personalised Product Upselling marketing material, based on the estimated savings for the fleet due to use of the routing software. Experimental results from an email marketing campaign confirm the effectiveness of our system and of the personalised marketing material it delivers.
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Complexity Issues in Interval Linear Programmingg several novel complexity results. In particular, we show NP-hardness of the following problems: checking whether a particular value is attained as an optimal value; testing connectedness and convexity of the optimal solution set; and checking whether a given solution is robustly optimal for each realization of the interval values.
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Conference proceedings 2023m August 30th to September 2.nd., 2022,  organized by the Global Optimization Laboratory within the University of Florence and AIRO (the Italian Association for Operations Research)..The book includes contributions in the fields of operations research, optimization, problem solving, decision making
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