亓爱良

个人简介

目前我是一名20级软件工程的硕士研究生，就读于长春师范大学计算机科学与技术学院。同时我也是陈慧灵教授领导下的MDM&CI实验室成员之一。现阶段的主要研究方向是对新提出的群智能优化算法和元启发式算法进行改进和创新。

研究的方向和兴趣包括元启发式算法，群智能优化算法，图像分割，机器学习。
主要有元启发式算法的创新和群智能优化算法的改进并将其应用于图像分割领域。

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Li H, Qi A, Chen H, Chen S, Zhao D. HSIAO framework in feature selection for hyperspectral remote sensing images based on Jeffries-Matusita distance. IEEE Transactions on Geoscience and Remote Sensing, 2025.
Qi A, Zhao D, Heidari A A, Liu L, Chen Y, Chen H. FATA: An Efficient Optimization Method Based on Geophysics. Neurocomputing, 2024: 128289.
Zhao D, Qi A, Yu F, Heidari A A, Chen H, Li Y. Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma. Biomedical Signal Processing and Control, 2023, 83: 104647.
Qi A, Zhao D, Yu F, Liu G, Heidari A A, Chen H, Algarni A D, Elmannai H, Gui W. Directional crossover slime mould algorithm with adaptive Lévy diversity for the optimal design of real-world problems. Journal of Computational Design and Engineering, 2022.
Qi A, Zhao D, Yu F, Heidari A A, Wu Z, Cai Z, Alenezi F, Mansour R F, Chen H, Chen M. Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation. Computers in Biology and Medicine, 2022.
Qi A, Zhao D, Yu F, Heidari A A, Chen H, Xiao L. Directional mutation and crossover for immature performance of whale algorithm with application to engineering optimization. Journal of Computational Design and Engineering, 2022.