An Innovative Knowledge Learning Adaptive Quantum-inspired Algorithm for Trend Ratio-Based Portfolio Construction Model-Reference-Cited by-同舟云学术

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An Innovative Knowledge Learning Adaptive Quantum-inspired Algorithm for Trend Ratio-Based Portfolio Construction Model

Published:2024-06-30 Issue: Volume: Page:1-9
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Kuo Shu-Yu¹,Jiang Yu-Chi²,Wu Ching-Hsuan³,Hua Cheng-Yen³,Lai Yun-Ting³,Chou Yao-Hsin³

Affiliation:

1. National Taiwan University,Center for Quantum Science and Engineering,Department of Physics

2. Princeton University,Department of Electrical and Computer Engineering

3. National Chi Nan University,Department of Computer Science and Information Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611873.pdf?arnumber=10611873

Reference42 articles.

1. Guided GA-Based Multiobjective Optimization of Placement and Assignment of TSVs in 3-D ICs

2. A Parallel Surrogate Model Assisted Evolutionary Algorithm for Electromagnetic Design Optimization

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