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Authors: Maria Semenkina ; Shakhnaz Akhmedova ; Eugene Semenkin and Ivan Ryzhikov

Affiliation: Siberian State Aerospace University, Russian Federation

Keyword(s): Spacecraft Solar Array, Degradation Forecasting, ANN-based Predictors, Automated Design, Self-configuring Evolutionary Algorithms, Bio-Inspired Algorithms Co-operation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computation and Control ; Evolutionary Computing ; Genetic Algorithms ; Hybrid Learning Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Soft Computing

Abstract: The problem of forecasting the degradation of spacecraft solar arrays is considered. The application of ANN-based predictors is proposed and their automated design with self-adaptive evolutionary and bio-inspired algorithms is suggested. The adaptation of evolutionary algorithms is implemented on the base of the algorithms’ self-configuration. The island model for the bio-inspired algorithms cooperation is used. The performance of four developed algorithms for automated design of ANN-based predictors is estimated on real-world data and the most perspective approach is determined.

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Paper citation in several formats:
Semenkina, M., Akhmedova, S., Semenkin, E. and Ryzhikov, I. (2014). Spacecraft Solar Arrays Degradation Forecasting with Evolutionary Designed ANN-based Predictors. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-039-0; ISSN 2184-2809, SciTePress, pages 421-428. DOI: 10.5220/0005122004210428

@conference{icinco14,
author={Maria Semenkina and Shakhnaz Akhmedova and Eugene Semenkin and Ivan Ryzhikov},
title={Spacecraft Solar Arrays Degradation Forecasting with Evolutionary Designed ANN-based Predictors},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2014},
pages={421-428},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005122004210428},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Spacecraft Solar Arrays Degradation Forecasting with Evolutionary Designed ANN-based Predictors
SN - 978-989-758-039-0
IS - 2184-2809
AU - Semenkina, M.
AU - Akhmedova, S.
AU - Semenkin, E.
AU - Ryzhikov, I.
PY - 2014
SP - 421
EP - 428
DO - 10.5220/0005122004210428
PB - SciTePress

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