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| 1 | A hybrid distributed-centralized conflict resolution approach for multi-aircraft based on cooperative co-evolutionary显示文摘Conflict resolution(CR)plays a crucial role in safe air trafc management(ATM).In this paper,we propose a new hybrid distributed-centralized tactical CR approach based on cooperative co-evolutionary named the CCDG(cooperative co-evolutionary with dynamic grouping)strategy to overcome the drawbacks of the current two types of approaches,the totally centralized approach and distributed approach.Firstly,aircraft are divided into several sub-groups based on their interdependence.Besides,a dynamic grouping strategy is proposed to group the aircraft to better deal with the tight coupling among them.The sub-groups are adjusted dynamically as new conflicts appear after each iteration.Secondly,a fast genetic algorithm(GA)is used by each sub-group to optimize the paths of the aircraft simultaneously.Thirdly,the aircraft’s optimal paths are obtained through cooperation among diferent sub-groups based on cooperative co-evolutionary(CC).An experimental study on two illustrative scenarios is conducted to compare the CCDG method with some other existing approaches and it is shown that CCDG which can get the optimal solution efectively and efciently in near real time,outperforms most of the existing approaches including Stratway,the fast GA,a general evolutionary path planner,as well as three well-known cooperative co-evolution algorithms. | ZHANG XueJun GUAN XiangMin HWANG Inseok CAI KaiQuan | 2013 | Science China(Information Sciences)2013，56，12： | 12 |
| 2 | A large-scale flight multi-objective assignment approach based on multi-island parallel evolution algorithm with cooperative coevolutionary显示文摘Due to the rapid increase of air traffic demand, the large-scale flight assignment plays a crucial role in reducing airspace congestion and economic losses via reasonably regulating the air traffic flow of China. In this paper, the large-scale flight assignment problem is formulated as a multi-objective model with consideration of the reduction of airspace congestion and flight delay. However, it is a large-scale combinatorial optimization problem with complex constraints and tightly coupled decision variables, which is difficult to deal with.Hence, an effective multi-objective optimization algorithm is proposed based on the multi-island parallel evolution framework(PEA) with a left-right probability migration topology. Multi-island PEA employs multiple evolution populations for solving the problem simultaneously, and the left-right probability migration topology for exchange individuals among populations to improve the efficiency of the cooperation of populations. Then the cooperative co-evolution(CC) algorithm is introduced for each population to further improve the searching capability. Simulation results using the real traffic data from the China air route network and daily flight plans demonstrate that the proposed approach can improve the solution quality effectively, showing superiority to the existing approaches such as the multi-objective genetic algorithm, the well-known multi-objective evolutionary algorithm based on decomposition, a CC-based multi-objective algorithm as well as other two parallel evolution algorithms with different migration topologies. | Renli LU Xiangmin GUAN Xueyuan LI Inseok HWANG | 2016 | Science China(Information Sciences)2016，59，7： | 4 |
| 3 | New algorithms for aircraft intent inference and trajectory prediction显示文摘 | Yepes Javier Lovera Hwang Inseok Rotea Mario | 2007 | Journal of Guidance Control and Dynamics Conference2007，30，2： | 1 |
| 4 | State estimation for stochastic linear hybrid systems with continous-state-dependent transitions:An IMM approach显示文摘 | Seah Chze Eng Inseok Hwang | 2009 | IEEE Transactions on Aerospace and Electronic Systems2009，45，1： | 1 |
| 5 | New Algo-rithms for Aircraft Intent Inference and Trajectory Prediction 显示文摘 | Javier Lovera Yepes Inseok Hwang Mario Rotea | 2007 | Journal of Guidance Control and Dynamics2007，30，2： | 1 |
| 6 | Probabilistie Trajectory Prediction and Conflict Detection for Air Trafiet Control 显示文摘 | Liu Weiyi Hwang Inseok | 2011 | Journal of Guidance Control and Dynamics2011，34，6： | 1 |
| 7 | A survey of fault detection,isolation,and reconfiguration methods 显示文摘 | Inseok Hwang Sungwan Kim Youdan Kim | 2010 | IEEE Transactions on Control Systems Technology2010，18，3： | 1 |
| 8 | New Algorithms for Aircraft Intent Inference and Trajectory Prediction 显示文摘 | Javier Lovera Yepes Inseok Hwang Mario Rotea | 2007 | Journal of Guidance Control and Dynamics March - April2007，30，： | 1 |
| 9 | Probabilistic Trajectory Prediction and Conflict Detection for Air Traffic Control显示文摘 | Liu Weiyi Inseok Hwang | 2011 | Journal of Guidance Control and Dynamics November - December2011，34，6： | 1 |
| 10 | Al- gorithm for Conformance Monitoring in Air Traffic Control显示文摘 | Chze Eng Seah Alinda Aligawesa Inseok Hwang | 2010 | Journal Of Guidance Control And Dy namies2010，33，2： | 1 |
| 11 | Optimal arri- val flight sequencing and scheduling using discrete air- borne delays 显示文摘 | Yeonju Eun Inseok Hwang Hyochoong Bang | 2010 | Transactions on Intelligent Transporta- tion Systems2010，11，2： | 1 |
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