Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Vittorio Maniezzo"'
Autor:
Vittorio Maniezzo, Tingting Zhou
Publikováno v:
Algorithms, Vol 16, Iss 6, p 267 (2023)
The performance of optimization algorithms, and consequently of AI/machine learning solutions, is strongly influenced by the setting of their hyperparameters. Over the last decades, a rich literature has developed proposing methods to automatically d
Externí odkaz:
https://doaj.org/article/b65fd18771764b08afa0f21660f4ab5b
Autor:
Lorenzo Monti, Rita Tse, Su-Kit Tang, Silvia Mirri, Giovanni Delnevo, Vittorio Maniezzo, Paola Salomoni
Publikováno v:
Sensors, Vol 22, Iss 10, p 3692 (2022)
Studies and systems that are aimed at the identification of the presence of people within an indoor environment and the monitoring of their activities and flows have been receiving more attention in recent years, specifically since the beginning of t
Externí odkaz:
https://doaj.org/article/29a73b80257f4d7d9e118c6befd60ca8
In integer programming and combinatorial optimisation, people use the term matheuristics to refer to methods that are heuristic in nature, but draw on concepts from the literature on exact methods. We survey the literature on this topic, with a parti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb7f7dff8c0f379e5f3a04221d7b3f8
https://doi.org/10.1111/itor.13301
https://doi.org/10.1111/itor.13301
Publikováno v:
Operations Research Forum. 3
This work reports about an end-to-end business analytics experiment, applying predictive and prescriptive analytics to real-time bidding support for fantasy football draft auctions. Forecast methods are used to quantify the expected return of each in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d406be0d107a3d0aa3be5dadcf4d74e1
https://doi.org/10.1007/s43069-022-00160-w
https://doi.org/10.1007/s43069-022-00160-w
Publikováno v:
4OR. 20:173-208
Matheuristics are heuristic algorithms based on mathematical tools such as the ones provided by mathematical programming, that are structurally general enough to be applied to different problems with little adaptations to their abstract structure. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::104b6b5decd3c1cd1d29204dc47a72cb
https://doi.org/10.1007/s10288-022-00510-8
https://doi.org/10.1007/s10288-022-00510-8
Publikováno v:
Metaheuristics ISBN: 9783031265037
This work treats the so-called Generalized Quadratic Assignment Problem. Solution methods are based on heuristic and partially LP-optimizing ideas. Base constructive results stem from a simple 1-pass heuristic and a tree-based branch-and-bound type a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c51ee145e8c25a9ca6bc049e7dc2091
https://hdl.handle.net/11585/921793
https://hdl.handle.net/11585/921793
Publikováno v:
Metaheuristics ISBN: 9783031265037
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4a7626ea7d3091ef0e2094951c826d2
https://doi.org/10.1007/978-3-031-26504-4_36
https://doi.org/10.1007/978-3-031-26504-4_36
Publikováno v:
Electronics; Volume 11; Issue 9; Pages: 1498
[EN] The development of technologies that exploit the Internet of Things (IoT) paradigm has led to the increasingly widespread use of networks formed by different devices scattered throughout the territory. The Publish/Subscribe paradigm is one of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::758fb4476e5817e0b4c28e17ae8482ee
https://hdl.handle.net/10251/193210
https://hdl.handle.net/10251/193210
Publikováno v:
OR Spectrum. 43:603-605
Machine learning has recently emerged as a prospective area of investigation for OR in general and specifically for combinatorial optimization. Especially after the impressive boost in the effectiveness of deep learning models in various tasks, new a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e891e1e0cb0fcec880d1ddb5a293b83
https://doi.org/10.1007/s00291-021-00642-z
https://doi.org/10.1007/s00291-021-00642-z
Publikováno v:
EURO Advanced Tutorials on Operational Research ISBN: 9783030702762
This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf9a744a7e0bb8e230a51581ac3117bc
http://hdl.handle.net/11585/832887
http://hdl.handle.net/11585/832887