Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade-Reference-Cited by-同舟云学术

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Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade

Published:2024-08 Issue: Volume:53 Page:100652
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Thakkar Ankit^ORCID,Chaudhari Kinjal^ORCID

Publisher

Elsevier BV

Reference174 articles.

1. Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks;Thakkar;Appl. Soft Comput.,2020

2. A comprehensive survey on portfolio optimization, stock price and trend prediction using particle swarm optimization;Thakkar;Arch. Comput. Methods Eng.,2021

3. Improving stock market prediction via heterogeneous information fusion;Zhang;Knowl.-Based Syst.,2018

4. A survey on evolutionary computation approaches to feature selection;Xue;IEEE Trans. Evol. Comput.,2015

5. Multi-verse optimizer: a nature-inspired algorithm for global optimization;Mirjalili;Neural Comput. Appl.,2016

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