On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems.
M. Senthil ArumugamM. V. C. RaoPublished in: Appl. Soft Comput. (2008)
Keyphrases
- optimal control
- hybrid systems
- root mean square
- particle swarm optimization
- black box
- class of nonlinear systems
- control strategy
- intelligent systems
- optimal control problems
- real time
- computational intelligence
- multi class
- neural network
- machine learning algorithms
- mathematical model
- evolutionary algorithm
- feature space
- genetic algorithm
- machine learning