Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system
- DOI
- 10.1016/j.mex.2025.103413
- Published
- 06
- Container
- MethodsX
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.mex.2025.103413,
title = {Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system},
author = {Suyash S. Satpute and Amol C. Adamuthe and Pooja Bagane},
year = {2025},
journal = {MethodsX},
doi = {10.1016/j.mex.2025.103413},
url = {https://doi.org/10.1016/j.mex.2025.103413}
}RIS
TY - JOUR TI - Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system AU - Suyash S. Satpute AU - Amol C. Adamuthe AU - Pooja Bagane PY - 2025 JO - MethodsX DO - 10.1016/j.mex.2025.103413 UR - https://doi.org/10.1016/j.mex.2025.103413 ER -
APA
Satpute, S. S., Adamuthe, A. C., & Bagane, P. (2025). Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system. MethodsX. https://doi.org/10.1016/j.mex.2025.103413
Source records
- doaj · retrieved 2026-09-25T06:11:14.395Z