Entanglement Local Search-Assisted Quantum-Inspired Optimization for Portfolio Optimization in G20 Markets

Author:

Kuo Shu-Yu1ORCID,Lai Yun-Ting2ORCID,Jiang Yu-Chi1ORCID,Chang Ming-Ho2ORCID,Wu Kun-Min2ORCID,Chen Po-Chun2ORCID,Chang Yu-Yu2ORCID,Tong Yong Feng2ORCID,Chou Yao-Hsin23ORCID

Affiliation:

1. National Taiwan University, Taipei, Taiwan

2. National Chi Nan University, Puli, Taiwan

3. Physics Division, National Center for Theoretical Sciences, Puli, Taiwan

Funder

National Science and Technology Council

Publisher

ACM

Reference32 articles.

1. Constructing a positive sentiment index for COVID-19: Evidence from G20 stock markets

2. Mean–variance portfolio optimization using machine learning-based stock price prediction

3. Yi Chen and Aimin Zhou . 2019 . MOEA/D with An Improved Multi-Dimensional Mapping Coding Scheme for Constrained Multi-objective Portfolio Optimization . IEEE Congress on Evolutionary Computation (2019), 1742--1749. Yi Chen and Aimin Zhou. 2019. MOEA/D with An Improved Multi-Dimensional Mapping Coding Scheme for Constrained Multi-objective Portfolio Optimization. IEEE Congress on Evolutionary Computation (2019), 1742--1749.

4. A quantum-inspired Tabu search algorithm for solving combinatorial optimization problems

5. A Weighted Portfolio Optimization Model Based on the Trend Ratio, Emotion Index, and ANGQTS

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