A quantum tunneling and spatiotemporal synergy-enhanced golden jackal optimization algorithm with application in coking severity diagnosis of ethylene cracking furnaces. (QTGJO)
A quantum tunneling and spatiotemporal synergy-enhanced GJO algorithm (QTGJO) is proposed.
- The algorithm integrates a time-dimension escape energy decay mechanism with a space-dimension population diversity perception, enabling dynamic switching among multiple search modes to maintain an adaptive balance between global exploration and local exploitation.
- In addition, a quantum tunneling mechanism is employed, allowing adaptive execution of long-distance global jumps or local fine-grained searches based on tunneling probability, thereby enhancing global search capability and the ability to escape local optima.
Cite this paper as:
Tan, Y., He, J., Peng, Z. et al. A quantum tunneling and spatiotemporal synergy-enhanced golden jackal optimization algorithm with application in coking severity diagnosis of ethylene cracking furnaces. J Supercomput 82, 61 (2026). https://doi.org/10.1007/s11227-025-08177-8
The paper can be seen at:
https://link.springer.com/article/10.1007/s11227-025-08177-8