Metaheuristic-driven automatic ARIMA order selection using spider monkey optimization for agricultural production forecasting
Anil Kumar, Roshini Priya C H, Fasila K P, Santosha Rathod, S Vishnu Shankar, Mrinmoy Ray, Sujith Arokia Swamy B, Santosh Patil, Chiranjit Mazumder, Sudhir Kumar Mishra, V Lavanya, Ashutosh Kumar Misra, Vipin Kumar Choudhary · 2026
Read Metaheuristic-driven automatic ARIMA order selection using spider monkey optimization for agricultural production forecasting by Anil Kumar, Roshini Priya C H, Fasila K P, Santosha Rathod, S Vishnu Shankar, Mrinmoy Ray, Sujith Arokia Swamy B, Santosh Patil, Chiranjit Mazumder, Sudhir Kumar Mishra, V Lavanya, Ashutosh Kumar Misra, Vipin Kumar Choudhary (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13584011.txt.
Description
Anil Kumar and a large team of co-authors automate in 2026 the choice of settings for ARIMA forecasting models using spider monkey optimization, a swarm search method. Picking the three ARIMA orders by grid search is slow and can miss the best fit. In their scheme, each virtual monkey stands for one candidate setting set, scored by fit and forecast accuracy together.
They tested on Indian farm production series against genetic, swarm, and Bayesian tuning rivals. Their method gave the lowest forecast errors on all six series with less compute time. For total food grains, test error fell well below every rival. The framework suits routine agricultural forecasting.
Catalog record
| CREATOR | Anil Kumar, Roshini Priya C H, Fasila K P, Santosha Rathod, S Vishnu Shankar, Mrinmoy Ray, Sujith Arokia Swamy B, Santosh Patil, Chiranjit Mazumder, Sudhir Kumar Mishra, V Lavanya, Ashutosh Kumar Misra, Vipin Kumar Choudhary |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |