Dr. Yanjie Song
News
• 2025-12-17, The manuscript entitled “An Evolutionary Algorithm with Memory Guidance for Data Transmission Scheduling Optimization in Communication Satellite Network” has been accepted by IEEE Transactions on Systems, Man and Cybernetics: Systems.
• 2025-12-5, The manuscript entitled “LLM-assisted Adaptive Large Neighborhood Search for AEOS Scheduling” has been accepted by Frontiers of Engineering Management.
• 2025-12-2, The manuscript entitled “SCDF-YOLOv11:Selection and compensation detailed feature integration network for UAV detection” has been accepted by Chinese Journal of Aeronautics.
• 2025-11-14, The manuscript entitled “Exploring to predict the tipping points in traffic flow: A lightweight spatio-temporal information-enhanced neural point process approach” has been accepted by Physica A: Statistical Mechanics and its Applications.
• 2025-9-30, The manuscript entitled “Multi-Satellite Scheduling for Stereo Tracking of Moving Targets via Parallel Island Differential Evolutionary Algorithm” has been accepted by IEEE Transactions on Aerospace and Electronic Systems.
• 2025-8-2, The manuscript entitled “A learning algorithm based on similarity identification and knowledge transfer for dynamic multi-objective optimization” has been accepted by IEEE Transactions on Evolutionary Computation.
• 2025-7-30, The comments entitled “Can large language models solve complex engineering issues? Practical applications in reliability systems engineering” has been accepted by Engineering.
• 2025-1-9, One TSMC paper was selected as the Highly Cited Paper in Web of Science.
• 2024-12-20, The manuscript entitled “An Evolutionary Task Scheduling Algorithm Using Fuzzy Fitness Evaluation Method for Communication Satellite Network” has been accepted by Swarm and Evolutionary Computation.
• 2024-11-15, One SWEVO survey was selected as the Highly Cited Paper in Web of Science.
• 2024-11-15, One SWEVO paper was selected as the Highly Cited Paper in Web of Science.
• 2024-10-11, The manuscript entitled “A Meta-heuristic Algorithm Combined with Deep Reinforcement Learning for Multi-sensor Positioning Layout Problem in Complex Environment” has been accepted by Expert Systems With Applications.
• 2024-09-26, The manuscript entitled “A Strategy Fusion-Based Multi-Objective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem” has been accepted by IEEE Transactions on Geoscience and Remote Sensing.
• 2024-02-25, The manuscript entitled “Energy-Efficient Satellite Range Scheduling Using A Reinforcement Learning-based Memetic Algorithm” has been accepted by IEEE Transactions on Aerospace and Electronic Systems.
• 2024-02-19, The survey entitled “Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities ” has been accepted by Swarm and Evolutionary Computation.
Research Interests
• Combinatorial optimization
• Single-objective optimization, multitask optimization, multi-objective optimization
• Artificial intelligence, machine learning
• Evolutionary computation
• Reinforcement learning, transfer learning, meta-learning
• Multi-population, surrogate, genetic operators
Biography
Yanjie Song received double B.S. degrees in Management from Tianjin University, Tianjin, China, in 2017 and the Ph.D. degree in Engineering from National University of Defense Technology, Changsha, China, in 2022. He has published more than 40 papers in IEEE Trans. on Aerospace and Electronic Systems, Swarm and Evolutionary Computation, Information Sciences, Advanced Engineering Informatics, Computers & Industrial Engineering and other journals. He has authored 1 academic book, obtained 7 National Invention Patents, and hosted/participated in more than 15 projects. His research interests include computational intelligence, evolutionary algorithm, combinatorial optimization, and deep reinforcement learning. He is now the reviewer of the IEEE Trans. on Systems, Man and Cybernetics: Systems, Swarm and Evolutionary Computation, Neural Networks, Knowledge-Based Systems, Information Science, Applied Soft Computing and more than 30 other journals.
Collaborators
Prof. Witold Pedrycz, University of Alberta, Canda
Prof. P. N. Suganthan, Nanyang Technological University, Singapore
Prof. Duc Truong Pham, University of Birmingham, UK
Prof. Andries Engelbrecht, Stellenbosch University, South Africa
Prof. Ling Wang, Tsinghua University, China
Prof. Rui Wang, National University of Defense Technology, China
Prof. Ke Tang, Southern University of Science and Technology, China
Dr. Xinwei Wang, Queen Mary University of London, UK
Prof. Yi Mei, Victoria University of Wellington, New Zealand
Dr. Fangfang Zhang, Victoria University of Wellington, New Zealand
Dr. Ran Yan, Nanyang Technological University, Singapore
Prof. Swagatam Das, Indian Statistical Institute, India
Prof. Rammohan Mallipeddi, Kyungpook National University, South Korea
Dr. Oladayo Solomon Ajani, Kyungpook National University, South Korea
Dr. Yutong Wu, University of Kent, UK
Dr. Qinwen Yang, University of Auckland, New Zealand
Dr. Yue Zhang, National University of Singapore, Singapore
Dr. Ying Bi, Zhengzhou University, China
