Haotian Li

Jan 15, 2025 | preprints.org | Haotian Li |Shuai Yu

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Oct 10, 2023 | onlinelibrary.wiley.com | Xinran Zhang |Haotian Li |Lu Tang |Biao Zhu

REFERENCES 1, , , et al. Cell-based and stem-cell-based treatments for spinal cord injury: evidence from clinical trials. Lancet Neurol. 2022; 21(7): 659-670. 2, , , , . Systemic sclerosis-associated compressive cervical calcinosis: intersection of degenerative spine instability, lesional spinal cord compression, and traumatic spinal cord injury. Illustrative case. J Neurosurg Case Lessons. 2022; 4(15):CASE22302. 3, , , et al.

Aug 16, 2023 | onlinelibrary.wiley.com | Lin Zhong |Haotian Li |Qingya Sui |Jiatianyi Yu

Abstract Particle swarm optimization (PSO) is a popular optimization technique known for its simplicity and effectiveness. This paper introduces a variant that achieves a better balance between exploration and exploitation, named DiPSO. DiPSO incorporates a novel strategy based on trends in mean distance between individuals for local exploitation control. Experiments on 29 benchmark functions demonstrate that DiPSO consistently outperforms the state-of-the-art variant of PSO.