Improved algorithms to plan missions for agile earth observation satellites

Huicheng Hao; Wei Jiang; Yijun Li

doi:10.1109/JSEE.2014.00094

Improved algorithms to plan missions for agile earth observation satellites

Huicheng Hao
, Wei Jiang
, Yijun Li^*

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology
Northeast Agricultural University

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

This study concentrates on management problems of the new generation of the agile earth observation satellite (AEOS). AEOS is a key study object in many countries because of its many advantages over non-agile satellites. Hence, the mission planning and scheduling of AEOS is a popular research problem. This research investigates AEOS characteristics and establishes a mission planning model based on the working principle and constraints of AEOS as per analysis. To solve the scheduling issue of AEOS, several improved algorithms are developed. Simulation results suggest that these algorithms are effective.

Original language	English
Pages (from-to)	811-821
Number of pages	11
Journal	Journal of Systems Engineering and Electronics
Volume	25
Issue number	5
DOIs	https://doi.org/10.1109/JSEE.2014.00094
State	Published - 1 Oct 2014

Keywords

Agile earth observation satellite (AEOS)
General particle swarm optimization (PSO)
Hybrid genetic algorithm (EA)
Immune clone algorithm
Improved ant colony algorithm
Mission planning

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10.1109/JSEE.2014.00094

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title = "Improved algorithms to plan missions for agile earth observation satellites",

abstract = "This study concentrates on management problems of the new generation of the agile earth observation satellite (AEOS). AEOS is a key study object in many countries because of its many advantages over non-agile satellites. Hence, the mission planning and scheduling of AEOS is a popular research problem. This research investigates AEOS characteristics and establishes a mission planning model based on the working principle and constraints of AEOS as per analysis. To solve the scheduling issue of AEOS, several improved algorithms are developed. Simulation results suggest that these algorithms are effective.",

keywords = "Agile earth observation satellite (AEOS), General particle swarm optimization (PSO), Hybrid genetic algorithm (EA), Immune clone algorithm, Improved ant colony algorithm, Mission planning",

author = "Huicheng Hao and Wei Jiang and Yijun Li",

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AU - Jiang, Wei

AU - Li, Yijun

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N2 - This study concentrates on management problems of the new generation of the agile earth observation satellite (AEOS). AEOS is a key study object in many countries because of its many advantages over non-agile satellites. Hence, the mission planning and scheduling of AEOS is a popular research problem. This research investigates AEOS characteristics and establishes a mission planning model based on the working principle and constraints of AEOS as per analysis. To solve the scheduling issue of AEOS, several improved algorithms are developed. Simulation results suggest that these algorithms are effective.

AB - This study concentrates on management problems of the new generation of the agile earth observation satellite (AEOS). AEOS is a key study object in many countries because of its many advantages over non-agile satellites. Hence, the mission planning and scheduling of AEOS is a popular research problem. This research investigates AEOS characteristics and establishes a mission planning model based on the working principle and constraints of AEOS as per analysis. To solve the scheduling issue of AEOS, several improved algorithms are developed. Simulation results suggest that these algorithms are effective.

KW - Agile earth observation satellite (AEOS)

KW - General particle swarm optimization (PSO)

KW - Hybrid genetic algorithm (EA)

KW - Immune clone algorithm

KW - Improved ant colony algorithm

KW - Mission planning

UR - https://www.scopus.com/pages/publications/84908325401

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M3 - 文章

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SP - 811

EP - 821

JO - Journal of Systems Engineering and Electronics

JF - Journal of Systems Engineering and Electronics

IS - 5

ER -

Improved algorithms to plan missions for agile earth observation satellites

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Keywords

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