Application of a Memetic Algorithm for the Optimal Control of Bunches of Trajectories of Nonlinear Deterministic Systems with Incomplete Feedback
| Autor: | V. A. Pis’mennaya, Andrei V. Panteleev |
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| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Computer Networks and Communications Computer science Heuristic (computer science) Computer Science::Neural and Evolutionary Computation Population 02 engineering and technology 01 natural sciences Theoretical Computer Science Attitude control 020901 industrial engineering & automation 0101 mathematics education education.field_of_study Applied Mathematics Ant colony optimization algorithms 010102 general mathematics Optimal control Nonlinear system Control and Systems Engineering Simulated annealing Memetic algorithm Computer Vision and Pattern Recognition Software Information Systems |
| Zdroj: | Journal of Computer and Systems Sciences International. 57:25-36 |
| ISSN: | 1555-6530 1064-2307 |
| DOI: | 10.1134/s1064230718010082 |
| Popis: | The application of a hybrid memetic constrained minimization algorithm that uses the ideas of evolutionary methods operating the concept of population and the algorithms of simulation and mutual learning of the population’s individuals for designing the optimal control of bunches of trajectories of nonlinear deterministic systems with incomplete feedback is proposed. Memetic algorithms use the concept of meme as a unit of information transmission between individuals of the population. In the proposed algorithm, the meme is a promising solution obtained in the course of executing a procedure to find an extremum. Since the proposed method uses a number of different heuristic procedures for solving the problem, in particular, the simulated annealing, ant colony optimization methods, and the path-relinking procedure for accelerating the search, the algorithm is a hybrid modified one. To demonstrate the efficiency of the proposed approach, the problem of stabilization and attitude control of a satellite is solved and the results are compared with those obtained using the local variation method. |
| Databáze: | OpenAIRE |
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