Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Diveev:2021:ICIEA,
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author = "Askhat Diveev and Elena Sofronova and
Droh Mecapeu Catherine Prisca",
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title = "Synthesised Optimal Control for a Robotic Group by
Complete Binary Genetic Programming",
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booktitle = "2021 IEEE 16th Conference on Industrial Electronics
and Applications (ICIEA)",
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year = "2021",
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pages = "100--105",
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abstract = "The paper continues the study of symbolic regression
methods for control learning. The optimal control
problem with phase constraints for a group of robots is
considered. To solve the problem, the method of
synthesized optimal control is used. At the first stage
the stabilization problem is solved for each robot.
Using a new hybrid evolutionary algorithm, built on the
basis of the genetic algorithm, the particle swarm
optimization and the gray wolf optimizer, stable
equilibrium points are found. Next, the original
optimization problem by piece-wise linear approximation
of the equilibrium points is solved. In contrast to the
known methods for solving the synthesis problem, the
control learning by the complete binary genetic
programming is used. The advantage of this approach is
that the resulting control is realizable on board of
mobile robots. Simulation is given for a group of two
mobile robots.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/ICIEA51954.2021.9516380",
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ISSN = "2158-2297",
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month = aug,
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notes = "Also known as \cite{9516380}",
- }
Genetic Programming entries for
Askhat Diveev Ibraghimovich
Elena A Sofronova
Droh Mecapeu Catherine Prisca
Citations