Distributed Satellite Collection Scheduling optimization using Cooperative Coevolution and Market-Based Techniques

Multi-Objective Heterogeneous Multi-Asset Collection Scheduling Optimization with High-Level Information Fusion

“…The costs of observation missions have the consequence of also pushing intelligence services to carry out their observation missions by pooling their resources, especially their platforms [6,7]. UAVs, UGVs, vessels, satellites, etc.…”

“…The scheduling optimization problem can be defined as one in which each task given to an individual at a precise moment contributes to maximize one or more objective(s), and this, while respecting certain constraints 6 . This type of problem can also be assimilated to Constraint Satisfaction Problems (CSPs) which are problems of finding valid values to be attributed to a set of variables each having a domain and possibly constraints [36].…”

“…Distributed architectures are architectures in which the optimization process is done on each platform considered as an individual agent. [6] proposes a distributed CSO architecture in which each agent optimizes its collection of images but can also at some point during the mission, affiliate with another agent to form a fixed-term cohort. There are also decentralized coordinated architectures where tasks are only assigned to organizations with platforms so that they perform them independently.…”

“…Some mission planning articles [2,3,6,7] Since a CO encapsulates information of an image acquisition opportunity, predicting the quality of future images will then lead to predicting the quality of COs (including FCOs).…”