Recent developments in (Global) Optimization are surveyed in this paper. We collected and commented quite a large number of recent references which, in our opinion, well represent the vivacity, deepness, and width of scope of current computational approaches and theoretical results about nonconvex optimization problems. Before the presentation of the recent developments, which are subdivided into two parts related to heuristic and exact approaches, respectively, we briefly sketch the origin of the discipline and observe what, from the initial attempts, survived, what was not considered at all as well as a few approaches which have been recently rediscovered, mostly in connection with machine learning.

(Global) Optimization: Historical notes and recent developments / Schoen, Fabio; Locatelli, Marco. - In: EURO JOURNAL ON COMPUTATIONAL OPTIMIZATION. - ISSN 2192-4406. - STAMPA. - 9:(2021), pp. 1-15. [10.1016/j.ejco.2021.100012]

(Global) Optimization: Historical notes and recent developments

Schoen, Fabio
;
Locatelli, Marco
2021

Abstract

Recent developments in (Global) Optimization are surveyed in this paper. We collected and commented quite a large number of recent references which, in our opinion, well represent the vivacity, deepness, and width of scope of current computational approaches and theoretical results about nonconvex optimization problems. Before the presentation of the recent developments, which are subdivided into two parts related to heuristic and exact approaches, respectively, we briefly sketch the origin of the discipline and observe what, from the initial attempts, survived, what was not considered at all as well as a few approaches which have been recently rediscovered, mostly in connection with machine learning.
2021
9
1
15
Schoen, Fabio; Locatelli, Marco
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1248163
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