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Differential evolution algorithm for global optimizations in nuclear physics
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Physics.ORCID iD: 0000-0002-1406-5695
2017 (English)In: Journal of Physics G: Nuclear and Particle Physics, ISSN 0954-3899, E-ISSN 1361-6471, Vol. 44, no 4, article id 045107Article in journal (Refereed) Published
Abstract [en]

We explore the applicability of the differential evolution algorithm in finding the global minima of three typical nuclear structure physics problems: the global deformation minimum in the nuclear potential energy surface, the optimization of mass model parameters and the lowest eigenvalue of a nuclear Hamiltonian. The algorithm works very effectively and efficiently in identifying the minima in all problems we have tested. We also show that the algorithm can be parallelized in a straightforward way.

Place, publisher, year, edition, pages
IOP PUBLISHING LTD , 2017. Vol. 44, no 4, article id 045107
Keywords [en]
global minimum, optimization, potential energy surface, eigenvalue
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-206275DOI: 10.1088/1361-6471/aa5f87ISI: 000395978700002Scopus ID: 2-s2.0-85015730734OAI: oai:DiVA.org:kth-206275DiVA, id: diva2:1095200
Note

QC 20170512

Available from: 2017-05-12 Created: 2017-05-12 Last updated: 2022-06-27Bibliographically approved

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Qi, Chong

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