A large population island framework for the unconstrained binary quadratic problem
Year of publication: |
2024
|
---|---|
Authors: | Goudet, Olivier ; Goëffon, Adrien ; Hao, Jin-Kao |
Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 168.2024, Art.-No. 106684, p. 1-16
|
Subject: | Combinatorial optimization | Evolutionary search | Heuristics | Island model | Parallel search | Quadratic unconstrained binary optimization | Unconstrained binary quadratic problem | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Heuristik |
-
The Quadratic Unconstrained Binary Optimization Problem : Theory, Algorithms, and Applications
Punnen, Abraham P., (2022)
-
A massively parallel evolutionary algorithm for the partial Latin square extension problem
Goudet, Olivier, (2023)
-
A hybrid evolutionary search for the generalized quadratic multiple knapsack problem
Zhou, Qing, (2022)
- More ...
-
PUSH : a generalized operator for the maximum vertex weight clique problem
Zhou, Yi, (2017)
-
A massively parallel evolutionary algorithm for the partial Latin square extension problem
Goudet, Olivier, (2023)
-
Partial neighborhood local searches
Tari, Sara, (2021)
- More ...