News

• 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.
• 2023-12-16, The manuscript entitled “Generalized Model and Deep Reinforcement Learning Based Evolutionary Method for Multi-type Satellite Observation Scheduling” has been accepted by IEEE Transactions on Systems, Man, and Cybernetics: Systems.
• 2023-12-13, The manuscript entitled “Data-driven dynamic pricing and inventory management of an omni-channel retailer in an uncertain demand environment” has been accepted by Expert Systems With Applications.
• 2023-11-18, The manuscript entitled “An Autonomous Coverage Path Planning Algorithm for Maritime Search and Rescue of Persons-in-Water Based on Deep Reinforcement Learning” has been accepted by Ocean Engineering.
• 2023-10-23, The survey entitled “Ensemble Reinforcement Learning: A Survey” has been accepted by Applied Soft Computing Journal.
• 2023-10-16, The Special Issue Proposal has been accepted by SWEVO. [website]
• 2023-10-15, Best Paper Award, our paper “Impact of Allee and fear effects in a fractional order prey-predator system with group defence and prey refuge” won the Best Paper Award of The International Conference on Mathematical Analysis, Applications and Computational Simulation (ICMAACS) 2023.
• 2023-10-12, The manuscript entitled “Assessing Growth Potential of Careers with Occupational Mobility Network and Ensemble Framework” has been accepted by Engineering Applications of Artificial Intelligence.
• 2023-10-4, The manuscript entitled “When Architecture Meets RL+EA: A Hybrid Intelligent Optimization Approach for Selecting Combat Svstem-of-Svstems Architecture” has been accepted by Advanced Engineering Informatics. [pdf].
• 2023-9-17, The manuscript entitled “Impact of Allee and fear effects in a fractional order prey-predator system with group defence and prey refuge” has been accepted by Chaos: An Interdisciplinary Journal of Nonlinear Science.
• 2023-9-11, The manuscript entitled “An improved heterogeneous graph convolutional network for job recommendation” has been accepted by Engineering Applications of Artificial Intelligence, [pdf].
• 2023-9-4, The manuscript entitled “Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling” has been accepted by IEEE Trans. on Aerospace and Electronic Systems, [LAGA].
• 2023-9-3, A survey on reinforcement learning-assisted evolutionary algorithm has been released in arXiv and submitted to the SWEVO, [A Survey on RL-EA] .

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