Three multi-objective memetic algorithms for observation scheduling problem of active-imaging agile earth observation satellites
Observation scheduling problem for agile earth observation satellites (OSPFAS) plays a critical role in management of agile earth observation satellites (AEOSs). Active imaging enriches the extension of OSPFAS, we call the novel problem as observation scheduling problem for AEOS with variable image...
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| Published in: | Annals of operations research Vol. 346; no. 2; pp. 861 - 893 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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01.03.2025
Springer Nature B.V |
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| ISSN: | 0254-5330, 1572-9338 |
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| Abstract | Observation scheduling problem for agile earth observation satellites (OSPFAS) plays a critical role in management of agile earth observation satellites (AEOSs). Active imaging enriches the extension of OSPFAS, we call the novel problem as observation scheduling problem for AEOS with variable image duration (OSWVID). A cumulative image quality and a detailed energy consumption is proposed to build OSWVID as a bi-objective optimization model. Three multi-objective memetic algorithms, PD+NSGA-II, LA+NSGA-II and ALNS+NSGA-II, are then designed to solve OSWVID. Considering the heuristic knowledge summarized in our previous research, several operators are designed for improving these three algorithms respectively. Based on existing instances, we analyze the critical optimization parameters, evolution operators, and efficiency of these three algorithms based on extensive simulation experiments. |
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| AbstractList | Observation scheduling problem for agile earth observation satellites (OSPFAS) plays a critical role in management of agile earth observation satellites (AEOSs). Active imaging enriches the extension of OSPFAS, we call the novel problem as observation scheduling problem for AEOS with variable image duration (OSWVID). A cumulative image quality and a detailed energy consumption is proposed to build OSWVID as a bi-objective optimization model. Three multi-objective memetic algorithms, PD+NSGA-II, LA+NSGA-II and ALNS+NSGA-II, are then designed to solve OSWVID. Considering the heuristic knowledge summarized in our previous research, several operators are designed for improving these three algorithms respectively. Based on existing instances, we analyze the critical optimization parameters, evolution operators, and efficiency of these three algorithms based on extensive simulation experiments. |
| Author | Zhou, Zhongbao Chang, Zhongxiang |
| Author_xml | – sequence: 1 givenname: Zhongxiang orcidid: 0000-0003-1746-535X surname: Chang fullname: Chang, Zhongxiang organization: School of Automation and Electronic Information, Xiangtan University – sequence: 2 givenname: Zhongbao surname: Zhou fullname: Zhou, Zhongbao email: z.b.zhou@163.com organization: School of Business Administration, Hunan University |
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| Keywords | Memetic computing Scheduling Multi-objective optimization Active imaging Cumulative image quality OSWVID |
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| SubjectTerms | Active satellites Algorithms Business and Management Combinatorics Energy consumption Experiments Genetic algorithms Heuristic Image quality Knowledge Multiple objective analysis Operations research Operations Research/Decision Theory Operators Optimization Optimization models Original - OR Modeling/Case Study Satellite imagery Satellite observation Scheduling Simulation Theory of Computation |
| Title | Three multi-objective memetic algorithms for observation scheduling problem of active-imaging agile earth observation satellites |
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