Heuristic search for rank aggregation with application to label ranking
Year of publication: |
2024
|
---|---|
Authors: | Zhou, Yangming ; Hao, Jin-Kao ; Li, Zhen |
Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 36.2024, 2, p. 308-326
|
Subject: | evolutionary computation | label ranking | machine learning | metaheuristics | rank aggregation | Ranking-Verfahren | Ranking method | Aggregation | Heuristik | Heuristics | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Evolutionärer Algorithmus | Evolutionary algorithm | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Warenkennzeichnung | Product labelling |
-
Karimi-Mamaghan, Maryam, (2020)
-
Hyper-heuristic : a survey of the state of the art
Burke, Edmund K., (2013)
-
Ranking ranges in cross-efficiency evaluations : a metaheuristic approach
Alcaraz, Javier, (2022)
- More ...
-
Detecting critical nodes in sparse graphs via "reduce-solve-combine" memetic search
Zhou, Yangming, (2024)
-
A fast tri-individual memetic search approach for the distance-based critical node problem
Zhou, Yangming, (2023)
-
Bilevel memetic search approach to the soft-clustered vehicle routing problem
Zhou, Yangming, (2023)
- More ...