Тип публикации: статья из журнала
Год издания: 2016
Идентификатор DOI: 10.5220/0006009502810286
Ключевые слова: Spacecraft Command-programming Control Contours Modelling, Markov Chains, Effective Variant Choice, Multi-objective Optimization, Evolutionary Algorithms, Self-configuration, Bio-inspired Intelligence, Chains, Genetic algorithms, Integer programming, Markov processes, Optimization, Problem solving, Robotics, Spacecraft, Stochastic systems, Structural optimization, Control contours, Effective variant choices, Multi-objective genetic algorithm, Multicriteria optimization, Non-dominated sorting genetic algorithm - ii, Self configuration, Spacecraft control systems, Multiobjective optimization
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 algorПоказать полностьюithms 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.
Журнал: ICINCO: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1
Номера страниц: 281-286
Место издания: SETUBAL
Издатель: SCITEPRESS