Title :
Ant Colony Optimization for optimal control
Author :
Jelmer van Ast;Robert Babuska;Bart De Schutter
Author_Institution :
Delft Center for Systems and Control of the Delft University of Technology, Mekelweg 2, 2628 CD, Netherlands
Abstract :
Ant Colony Optimization (ACO) has proven to be a very powerful optimization heuristic for Combinatorial Optimization Problems (COPs). It has been demonstrated to work well when applied to various NP-complete problems, such as the traveling salesman problem. In this paper, an ACO approach to optimal control is proposed. This approach requires that a continuous-time, continuous-state model of the system, together with a finite action set, is formulated as a discrete, non-deterministic automaton. The control problem is then translated into a stochastic COP. This method is applied to the time-optimal swing-up and stabilization of a pendulum.
Keywords :
"Torque","Automata","Optimization","Quantization","Aerospace electronics","Probability distribution","Optimal control"
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
1941-0026
DOI :
10.1109/CEC.2008.4631068
