Comparative Research of Random Search Algorithms and Evolutionary Algorithms for the Optimal Control Problem of the Mobile Robot
| Autor: | G.I. Balandina, A.A. Baryshnikov, Askhat Diveev, S.V. Konstantinov |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Fitness function
Computer science Evolutionary algorithm Value (computer science) 020206 networking & telecommunications Mobile robot 02 engineering and technology Optimal control Random search Comparative research 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Algorithm General Environmental Science |
| Zdroj: | Procedia Computer Science. 150:462-470 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2019.02.080 |
| Popis: | An experimental comparison of evolutionary algorithms and random search algorithms for the optimal control problem is carried out. The problem is solved separately by several representatives of each type of algorithms. The simulation is performed on a mobile robot model. The results of each algorithm performance are compared according to the best found value of the fitness function, the mean value and the standard deviation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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