Cited by 98Metaheuristic Optimization Algorithms ResearchRisk and Portfolio OptimizationQuantum Computing Algorithms and Architecture

Quantum beetle antennae search: a novel technique for the constrained portfolio optimization problem

Open access
Khan, Ameer Tamoor, Cao, Xinwei, Li, Shuai, Hu, Bin, Katsikis, Vasilios N.·2021·Science China Information Sciences

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Crossref · 10.1007/s11432-020-2894-9

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2 of 2 references verified0 citation errors · 0 not checkable

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Authors
Khan, A. T., Cao, X., Li, S., Hu, B., & Katsikis, V. N.
Affiliations
  • Hong Kong Polytechnic University (HK)
  • Shanghai University (CN)
  • Lanzhou University (CN)
  • National and Kapodistrian University of Athens (GR)
Corresponding author
Cao, Xinwei
Venue
Science China Information Sciences
Published
2021-03-17
Volume
64
Issue
5
ISSN
  • 1869-1919 (ISSN-L)
  • 1674-733X
OpenAlex
W3137774199
Cited by
98
References
2
Citations by year
2026: 10 · 2025: 9 · 2024: 14 · 2023: 16 · 2022: 23 · 2021: 23 · 2020: 3
FWCI
6.72
Type
journal article
Language
en
Open access
Locations
  • Science China Information Sciences (publishedVersion)
  • Lanzhou University Institutional Repository (submittedVersion, cc-by-nc-sa)
  • Lanzhou University Institutional Repository (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Risk and Portfolio Optimization
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
Keywords
beetle antennae search algorithm, constrained portfolio optimization, stock portfolio selection, risk-return tradeoff, swarm intelligence, particle swarm optimization, genetic algorithm, quantum computing

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