Harmony Search Time Series Forecasting

version 1.0.0 (429 KB) by Seyed Muhammad Hossein Mousavi
Harmony Search Time Series Forecasting


Updated 15 Jan 2022

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%% Harmony Search Time Series Forecasting - Created in 15 Jan 2022 by Seyed Muhammad Hossein Mousavi
% This code uses Harmony Search evolutionary algorithm in order to forecast
% desired steps into the future based on input vector of time series data.
% You can load your data vector and play with parameters based on your
% data and system.
% ------------------------------------------------
% Feel free to contact me if you find any problem using the code:
% Author: SeyedMuhammadHosseinMousavi
% My Email: mosavi.a.i.buali@gmail.com
% My Google Scholar: https://scholar.google.com/citations?user=PtvQvAQAAAAJ&hl=en
% My GitHub: https://github.com/SeyedMuhammadHosseinMousavi?tab=repositories
% My ORCID: https://orcid.org/0000-0001-6906-2152
% My Scopus: https://www.scopus.com/authid/detail.uri?authorId=57193122985
% My MathWorks: https://www.mathworks.com/matlabcentral/profile/authors/9763916#
% my RG: https://www.researchgate.net/profile/Seyed-Mousavi-17
% ------------------------------------------------
% Related Paper For Cite:
% Mousavi, Seyed Muhammad Hossein, S. Younes MiriNezhad, and Mir Hossein Dezfoulian. "Galaxy gravity optimization (GGO) an algorithm for optimization, inspired by comets life cycle." 2017 Artificial Intelligence and Signal Processing Conference (AISP). IEEE, 2017.
% Hope it help you, enjoy the code and wish me luck :)

Cite As

Seyed Muhammad Hossein Mousavi (2022). Harmony Search Time Series Forecasting (https://www.mathworks.com/matlabcentral/fileexchange/105255-harmony-search-time-series-forecasting), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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