Cooperative elite-guided double-encircling golden jackal optimization algorithm with applications in engineering design and UAV path planning. (CEGJO)
A cooperative elite-guided double-encircling golden jackal optimization (CEGJO) algorithm is proposed in this study.
- First, the original single-guidance mechanism is removed, and multiple elite groups are introduced to cooperatively provide diverse guiding sources, thereby maintaining population diversity.
- Second, in the exploration phase, the dependence on prey is reduced, while in the exploitation phase, both spiral and linear encircling strategies are employed to effectively alleviate the imbalance between exploration and exploitation.
- Finally, an adaptive dimensional restart mechanism is introduced to reset ineffective dimensions and help the population escape from local optima.
Cite this paper as:
Tan, Y., He, J., Peng, Z. et al. Cooperative elite-guided double-encircling golden jackal optimization algorithm with applications in engineering design and UAV path planning. Cluster Comput 29, 111 (2026). https://doi.org/10.1007/s10586-025-05906-9
The paper can be seen at:
https://link.springer.com/article/10.1007/s10586-025-05906-9