Reference
J. van Ast, R. Babuška, 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.
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BibTeX
@inproceedings{vanBab:09-001,
author = {van Ast, Jelmer and Babu{\v{s}}ka, Robert and De Schutter,
Bart},
title = {Fuzzy Ant Colony Optimization for Optimal Control},
booktitle = {Proceedings of the 2009 American Control Conference},
address = {St.\ Louis, Missouri},
pages = {1003--1008},
month = jun,
year = {2009}
}