Efficient Policy Learning with Hybrid Evaluation-Based Genetic Programming for Uncertain Agile Earth Observation Satellite Scheduling | ScienceToStartup | ScienceToStartup

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References (59)

[1]

An effective Genetic Programming Hyper-Heuristic for Uncertain Agile Satellite Scheduling

2025Yuning Chen, Junhua Xue et al.

[2]

Multitree Genetic Programming With Rule Reconstruction for Dynamic Task Scheduling in Integrated Cloud–Edge Satellite–Terrestrial Networks

2025Changzhe Zhang, Jun Yang et al.

[3]

Deep reinforcement learning for Agile Earth Observation Satellites scheduling problem with variable image duration

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"A hybrid evaluation-based genetic programming approach for optimizing Earth observation satellite scheduling under uncertainty, offering a balance between computational cost and scheduling performance."

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Efficient Policy Learning with Hybrid Evaluation-Based Genetic Programming for Uncertain Agile Earth Observation Satellite Scheduling

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"A hybrid evaluation-based genetic programming approach for optimizing Earth observation satellite scheduling under uncertainty, offering a balance between computational cost and scheduling performance."

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Efficient Policy Learning with Hybrid Evaluation-Based Genetic Programming for Uncertain Agile Earth Observation Satellite Scheduling

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References (59)

Founder's Pitch

"A hybrid evaluation-based genetic programming approach for optimizing Earth observation satellite scheduling under uncertainty, offering a balance between computational cost and scheduling performance."

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