Work

Commentaries on A. Mor, C. Orsenigo and M.G. Speranza “Optimization and supervised learning for decision making: competitors or partners?”

Year: 2026

Type: article

Abstract: This article comprises a set of commentaries provided by scholars in the field for the discussion paper by Mor, Orsenigo and Speranza. Though all appreciate the integration of optimisation and Machine Learning, and considered the topic to be timely and challenging their views also highlight several aspects that ought not to be ignored. The authors then produced their responses to these challenging commentaries in a concise and forward looking spirit. For simplicity, the commentaries are put in alphabetical order of the authors surnames.

Source: Journal of the Operational Research Society

DOI: 10.1080/01605682.2026.2653919

Authors: Okan Arslan, Carmine Cerrone, Richard Eglese, Bissan Ghaddar, Bruce L. Golden, Martin Kunc, Gilbert Laporte, Francisco Saldanha-da-Gama, Said Salhi, Kate Smith-Miles, Daniele Vigo

Institutions: University of Genoa, Lancaster University, Western University, University of Maryland, College Park, University of Southampton, University of Bath, University of Sheffield, University of Kent, The University of Melbourne, University of Bologna

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W7157146424

FWCI:

Cites: 48

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