most citedA multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications

6 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG20251 cited

SSAS: Cross-subject EEG-based Emotion Recognition through Source Selection with Adversarial Strategy

Yici Liu, Qi Wei Oung, Hoi Leong Lee

Electroencephalographic (EEG) signals have long been applied in the field of affective brain-computer interfaces (aBCIs). Cross-subject EEG-based emotion recognition has demonstrat…

cs.NE20254 cited

An improved educational competition optimizer with multi-covariance learning operators for global optimization problems

Baoqi Zhao, Xiong Yang, Hoileong Lee +1

The educational competition optimizer is a recently introduced metaheuristic algorithm inspired by human behavior, originating from the dynamics of educational competition within s…

cs.NE20252 cited

A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization

Shangqing Shi, Luoxiao Zhang, Yuchen Yin +2

Metaheuristics are widely applied for their ability to provide more efficient solutions. The RIME algorithm is a recently proposed physical-based metaheuristic algorithm with certa…

cs.NE20256 cited

A multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications

Qi Diao, Chengyue Xie, Yuchen Yin +2

Aiming at the shortcomings of the gazelle optimization algorithm, such as the imbalance between exploration and exploitation and the insufficient information exchange within the po…

cs.RO2025

Safe and Efficient Lane-Changing for Autonomous Vehicles: An Improved Double Quintic Polynomial Approach with Time-to-Collision Evaluation

Rui Bai, Rui Xu, Teng Rui +5

Autonomous driving technology has made significant advancements in recent years, yet challenges remain in ensuring safe and comfortable interactions with human-driven vehicles (HDV…

eess.IV20251 cited

A Steel Surface Defect Detection Method Based on Lightweight Convolution Optimization

Cong Chen, Ming Chen, Hoileong Lee +2

Surface defect detection of steel, especially the recognition of multi-scale defects, has always been a major challenge in industrial manufacturing. Steel surfaces not only have de…