Reference:
J. van Ast,
R. Babuska, and
B. De Schutter,
"Fuzzy ant colony optimization for optimal control," Proceedings
of the 2009 American Control Conference, St. Louis, Missouri, pp.
1003-1008, June 2009.
Abstract:
Ant Colony Optimization (ACO) has proven to be a very powerful
optimization heuristic for Combinatorial Optimization Problems. While
being very successful for various NP-complete optimization problems,
ACO is not trivially applicable to control problems. In this paper a
novel ACO algorithm is introduced for the automated design of optimal
control policies for continuous-state dynamic systems. The so called
Fuzzy ACO algorithm integrates the multi-agent optimization heuristic
of ACO with a fuzzy partitioning of the state space of the system. A
simulated control problem is presented to demonstrate the functioning
of the proposed algorithm.