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EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem

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arxiv 2410.13462 v1 pith:BL5ZKFOY submitted 2024-10-17 math.OC astro-ph.IMcs.ETcs.NAmath.NA

EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem

Alex Elkj{\ae}r Vasegaard , Andreas K\"uhne Larsen This is my paper
classification math.OC astro-ph.IMcs.ETcs.NAmath.NA
keywords schedulingsolutioneartheospythongenerationobservationpackageproblem
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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EOSpython is a PyPI published Python package that encompass everything within a centralized earth observation satellite scheduling system in terms of customer database setup, scenario generation, pre-processing, problem setup, scheduling solution approach, decision maker preference integration, and visualization. The package is tailored to easily configure internal parameters and contribute with other solution approaches.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling

    cs.NI 2026-04 conditional novelty 7.0

    EOS-Bench creates thousands of satellite scheduling test cases spanning small to large scales and evaluates multiple solver types across five performance metrics.