A mixed framework to support heterogeneous collection asset scheduling

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

“…Many of these mission planning software use Multi-Objective Optimization (MOO) algorithms in order to realistically and satisfactorily achieve observation missions [1][2][3][4][5].…”

“…The several articles in this research area can be grouped into three. Centralized architectures are architectures in which the optimization of the image collection to satisfy different stakeholders is done regardless of the organizations to which the platforms belong [2,3]. Distributed architectures are architectures in which the optimization process is done on each platform considered as an individual agent.…”

“…Thus, the MOEAs (NSGA-II [62], NSGA-III [63] and SPEA2 [64]) will be able to generate several TAPs and evaluate them using the objectives which will be defined in the following sections. After the assignment of STRs to SPs, each SP will execute Multi-Objective -Genetic Algorithm-based collecTion scHedulER (MO-GATHER) [2] to optimize the realization of the TRs assigned to it and obtain as output a Collection Plan (CP). The latter can be simulated and visualized using Total::Perception™.…”

“…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).…”