Applying Ising Machines to Multi-objective QUBOs-Reference-Cited by-同舟云学术

Applying Ising Machines to Multi-objective QUBOs

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
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Author:

Ayodele Mayowa¹^ORCID,Allmendinger Richard²^ORCID,López-Ibáñez Manuel²^ORCID,Liefooghe Arnaud³^ORCID,Parizy Matthieu⁴^ORCID

Affiliation:

1. Fujitsu Research of Europe, Slough, United Kingdom

2. The University of Manchester, Manchester, United Kingdom

3. Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France

4. Fujitsu Laboratories Ltd., Kawasaki, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3596312

Reference19 articles.

1. Heuristics for cardinality constrained portfolio optimisation

2. A decomposition-based many-objective evolutionary algorithm with adaptive weight vector strategy

3. Improving the anytime behavior of two-phase local search

4. Nada Elsokkary , Faisal Shah Khan , Davide La Torre, Travis S. Humble, and Joel Gottlieb. 2017 . Financial Portfolio Management using D-Wave's Quantum Optimizer: The Case of Abu Dhabi Securities Exchange. Technical Report. Oak Ridge National Lab, Oak Ridge, TN, USA. https://www.osti.gov/biblio/1423041 Nada Elsokkary, Faisal Shah Khan, Davide La Torre, Travis S. Humble, and Joel Gottlieb. 2017. Financial Portfolio Management using D-Wave's Quantum Optimizer: The Case of Abu Dhabi Securities Exchange. Technical Report. Oak Ridge National Lab, Oak Ridge, TN, USA. https://www.osti.gov/biblio/1423041

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