Библиографическое описание:Choice of Spacecraft Control Contour Variant with Self-configuring Stochastic Algorithms of Multi-criteria Optimization / M. Semenkina [et al.]. - Текст : непосредственный // ICINCO: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1. - 2016. - P. 281-286. - Cited Reference Count: 14. - Гранты: This research is supported by the Ministry of Education and Science of Russian Federation within State Assignment. 2.1889.2014/K. - Финансирующая организация: Ministry of Education and Science of Russian Federation within State Assignment%2.1889.2014/K]. - ISSN 978-989-7, DOI 10.5220/0006009502810286.
Аннотация: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.
