Investment portfolio selection using genetic algorithms

• Main Author: Zhang, Yawen
• Other Authors: Mao Kezhi
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Engineering; Portfolio selection; Genetic algorithms; Multifactor quantitative model
• Online Access: https://hdl.handle.net/10356/176229
• Institution: Nanyang Technological University

The challenge of portfolio selection remains a critical focus within the domains of genetic algorithms and computational finance optimization. In the volatile financial markets, the objective of optimizing genetic algorithms (GAs) is to enhance the efficiency of portfolio decision-making processe...