Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system
The goal of this research is to develop a decision support system for stock portfolio optimization using hill climbing and SHLO algorithms based on fundamental analysis of stocks. Portfolio optimization involves constructing a portfolio that maximizes returns while minimizing risk. The novelty in me...
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Main Authors: | Suyash S. Satpute, Amol C. Adamuthe, Pooja Bagane |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-06-01
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Series: | MethodsX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125002596 |
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