Evolutionary Algorithms for Cardinality-Constrained Ising Models

Bhuva, Vijay; Dang, Duc-Cuong; Huber, Liam; Sudholt, Dirk

doi:10.1007/978-3-031-14721-0_32

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Evolutionary Algorithms for Cardinality-Constrained Ising Models

Bhuva, V., Dang, D.-C., Huber, L., & Sudholt, D. (2022). Evolutionary Algorithms for Cardinality-Constrained Ising Models. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022. Lecture Notes in Computer Science (pp. 456-469). doi:10.1007/978-3-031-14721-0_32.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-E307-E Version Permalink: https://hdl.handle.net/21.11116/0000-000A-E308-D

Genre: Conference Paper

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Creators:
Bhuva, Vijay^{1, 2}, Author
Dang, Duc-Cuong¹, Author
Huber, Liam², Author
Sudholt, Dirk¹, Author

Affiliations:
1Computer Science, University of Passau, Germany, ou_persistent22
2Thermodynamics and Kinetics of Defects, Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3291769

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Abstract: The Ising model is a famous model of ferromagnetism, in which atoms can have one of two spins and atoms that are neighboured prefer to have the same spin. Ising models have been studied in evolutionary computation due to their inherent symmetry that poses a challenge for evolutionary algorithms.

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Language(s): eng - English

Dates: Published Online: 2022-08-15Date issued: 2022

Publication Status: Issued

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Identifiers: DOI: 10.1007/978-3-031-14721-0_32
ISBN: 978-3-031-14721-0

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Title: Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022. Lecture Notes in Computer Science

Source Genre: Proceedings

Creator(s):
Rudolph, Günter, Editor
Kononova, Anna V., Editor
Aguirre, Hernán, Editor
Kerschke, Pascal, Editor
Ochoa, Gabriela, Editor
Tušar, Tea, Editor

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-

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Pages: - Volume / Issue: 13399 Sequence Number: - Start / End Page: 456 - 469 Identifier: -