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Authors: Maria Semenkina 1 ; Shakhnaz Akhmedova 2 ; Christina Brester 2 and Eugene Semenkin 2

Affiliations: 1 Siberian State Aerospace University and Siberian Federal University, Russian Federation ; 2 Siberian State Aerospace University, Russian Federation

ISBN: 978-989-758-198-4

Keyword(s): Spacecraft Command-programming Control Contours Modelling, Markov Chains, Effective Variant Choice, Multi-objective Optimization, Evolutionary Algorithms, Self-configuration, Bio-inspired Intelligence.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Engineering Applications ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing

Abstract: Command-programming control contours of spacecraft are modelled with Markov chains. These models are used for the preliminary design of spacecraft control system effective structure. Corresponding optimization multi-objective problems with algorithmically given functions of mixed variables are solved with a special stochastic algorithms called Self-configuring Non-dominated Sorting Genetic Algorithm II, Cooperative Multi-Objective Genetic Algorithm with Parallel Implementation and Co-Operation of Biology Related Algorithms for solving multi-objective integer optimization problems which require no settings determination and parameter tuning. The high performance of the suggested algorithms is proved by solving real problems of the control contours structure preliminary design.

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Paper citation in several formats:
Semenkina, M.; Akhmedova, S.; Brester, C. and Semenkin, E. (2016). Choice of Spacecraft Control Contour Variant with Self-configuring Stochastic Algorithms of Multi-criteria Optimization.In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 281-286. DOI: 10.5220/0006009502810286

@conference{icinco16,
author={Maria Semenkina. and Shakhnaz Akhmedova. and Christina Brester. and Eugene Semenkin.},
title={Choice of Spacecraft Control Contour Variant with Self-configuring Stochastic Algorithms of Multi-criteria Optimization},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={281-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006009502810286},
isbn={978-989-758-198-4},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Choice of Spacecraft Control Contour Variant with Self-configuring Stochastic Algorithms of Multi-criteria Optimization
SN - 978-989-758-198-4
AU - Semenkina, M.
AU - Akhmedova, S.
AU - Brester, C.
AU - Semenkin, E.
PY - 2016
SP - 281
EP - 286
DO - 10.5220/0006009502810286

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