Machine learning and combinatorial optimization, editorial

Autor:	Roberto Montemanni, Gianni A. Di Caro, Vittorio Maniezzo, Matteo Salani
Přispěvatelé:	Di Caro Gianni, Maniezzo Vittorio, Montemanni Roberto, Salani Matteo
Rok vydání:	2021
Předmět:	Computer science business.industry Machine learning Combinatorial optimization Business Management and Accounting (miscellaneous) Combinatorial optimization Artificial intelligence Management Science and Operations Research business
Zdroj:	OR Spectrum. 43:603-605
ISSN:	1436-6304 0171-6468
Popis:	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 approaches, such as neural combinatorial optimization, have been proposed as frameworks to tackle combinatorial optimization problems using a blending of different machine learning techniques. Following this trend, OR conferences and workshops are featuring an ever-increasing number of events and contributions related to the use of machine learning both as an end-to-end heuristic solver and as a component of a solution approach for combinatorial optimization problems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e891e1e0cb0fcec880d1ddb5a293b83 https://doi.org/10.1007/s00291-021-00642-z Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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