Mohapatra, S., Sarangi, P., & Mohapatra, P. (2025). A novel reward-based golden jackal optimization algorithm uses mix-weighted dynamic and random opposition learning to solve optimization problems. Cluster Computing: The Journal of Networks, Software Tools and Applications, 28(5). https://doi.org/10.1007/s10586-024-04978-3

MOHAPATRA, Sarada, SARANGI, Priteesha and MOHAPATRA, Prabhujit, 2025. A novel reward-based golden jackal optimization algorithm uses mix-weighted dynamic and random opposition learning to solve optimization problems. Cluster Computing: The Journal of Networks, Software Tools and Applications. 1 August 2025. Vol. 28, no. 5, . DOI 10.1007/s10586-024-04978-3.

Mohapatra, S., P. Sarangi, and P. Mohapatra. “A Novel Reward-Based Golden Jackal Optimization Algorithm Uses Mix-Weighted Dynamic and Random Opposition Learning to Solve Optimization Problems”. Cluster Computing: The Journal of Networks, Software Tools and Applications, vol. 28, no. 5, Aug. 2025, https://doi.org/10.1007/s10586-024-04978-3.

Mohapatra, Sarada/Sarangi, Priteesha/Mohapatra, Prabhujit: A novel reward-based golden jackal optimization algorithm uses mix-weighted dynamic and random opposition learning to solve optimization problems, Cluster Computing: The Journal of Networks, Software Tools and Applications 2025,

Mohapatra, S., Sarangi, P. and Mohapatra, P. (2025), “A novel reward-based golden jackal optimization algorithm uses mix-weighted dynamic and random opposition learning to solve optimization problems”, Cluster Computing: The Journal of Networks, Software Tools and Applications, Vol. 28 No. 5, available at:https://doi.org/10.1007/s10586-024-04978-3.