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天基综合信息系统全国重点实验室鲁班青年论坛2026年度第2期

时间：2026年03月13日（周五）14:00-15:00

地点：中国科研实验室软件园区5号楼4层第二会议室

主讲人：Mohamed Elamine Galloua北京航空航天大学

报告摘要：

Agile Earth Observation Satellites (AEOS) provide enhanced maneuverability and flexible imaging capabilities, enabling extended visible time windows and improved target coverage. However, this agility introduces significant problem in mission planning and scheduling, known as the Agile Earth Observation Satellite Task Planning and Scheduling Problem (AEOSSP). The problem is characterized by complex time-dependent constraints, maneuver transitions between consecutive observations, limited onboard resources, and overlapping observation opportunities. Three major challenges arise in this context. First, the high computational complexity of AEOSSP makes large-scale scheduling difficult to solve efficiently. Second, although metaheuristic algorithms are widely used to address this problem, their performance may be limited due to the problem’s nature, often suffering from premature convergence and trapping in local optima. Third, realistic mission planning requires considering multiple conflicting objectives, such as maximizing task priority while maintaining image quality, which leads to modeling AEOSSP as a multi-objective optimization problem (MOOP). This work investigates these challenges and proposes modeling and optimization strategies to improve the efficiency and realism of AEOS mission planning and scheduling.

报告人介绍：

Mohamed Elamine Galloua is currently a PhD candidate in Computer Applied Technology at Beihang University (BUAA). He obtained a Master's degree in Computer Applied Technology from BUAA. He has more than nine years of professional experience at the Algerian Space Agency (ASAL), where he has been involved in the development and operation of satellite ground segment systems. He has been a member of several satellite missions within the ALSAT 2 program, including ALSAT-2A, ALSAT-2B, and ALSAT-1B. His research interests include satellite mission planning and scheduling, optimization algorithms, and Earth observation data processing. He has published SCIE-indexed papers in the fields of optimization algorithms and satellite mission planning.