EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866917807915008000 |
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| author | Vasegaard, Alex Elkjær Larsen, Andreas Kühne |
| author_facet | Vasegaard, Alex Elkjær Larsen, Andreas Kühne |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_13462 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem Vasegaard, Alex Elkjær Larsen, Andreas Kühne Optimization and Control Instrumentation and Methods for Astrophysics Emerging Technologies Numerical Analysis 05, 15, 65, 68, 90 G.1; G.2; I.6; J.2 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. |
| title | EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem |
| topic | Optimization and Control Instrumentation and Methods for Astrophysics Emerging Technologies Numerical Analysis 05, 15, 65, 68, 90 G.1; G.2; I.6; J.2 |
| url | https://arxiv.org/abs/2410.13462 |